Engineering Jobs in Bedford Texas Remote

Lead Android Engineer

Contract to Hire

Hybrid – Onsite in Irving, TX (75063) Tue–Thu; Remote Mon & Fri

Our Fortune 500 retail client is seeking a hands-on Lead Android Engineer to drive technical excellence and innovation across their mobile platform. This role will help evolve a mature Android application while delivering high-quality experiences that support millions of customers across eCommerce, loyalty, personalization, and product launches.

The team is focused on differentiating the mobile app from the web experience through personalized content, contextual assistance, and intelligent upsell opportunities. This role requires someone who has made architectural decisions, influenced technical direction, and led implementation — not just executed against predefined designs.

This is not a pure architect role, but it requires strong architectural judgment combined with deep hands-on development expertise.

Key Responsibilities

• Serve as a hands-on technical leader within the Android team.
• Design, build, and enhance Android applications using Kotlin and Jetpack Compose.
• Make informed architectural decisions within an established Android application using MVVM and Clean Architecture principles.
• Guide the implementation of new features in alignment with scalable, maintainable architecture standards.
• Partner closely with the Mobile Architect while owning day-to-day technical decision-making for the Android team.
• Act as the go-to technical resource for Android engineers, helping answer implementation questions and remove blockers.
• Integrate and manage third-party SDKs and libraries, understanding dependency management, versioning conflicts, and potential performance implications.
• Implement API integrations and evaluate libraries needed to support new functionality.
• Contribute to proof-of-concepts (POCs) that explore innovative mobile capabilities and customer engagement strategies.
• Develop personalization features that differentiate the app experience from the web.
• Implement and optimize push notification capabilities to drive engagement and upsell opportunities.
• Strengthen application stability by implementing unit tests and embedding automated quality checks within the CI/CD pipeline from the Android codebase.
• Participate in production incident management and provide technical leadership during issue resolution.
• Conduct thorough PR reviews, promote code quality standards, and ensure proper documentation.
• Leverage AI-assisted development tools (e.g., GitHub Copilot) to improve efficiency and elevate engineering practices.
• Stay current with Android ecosystem trends and proactively recommend improvements.

Required Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or equivalent experience.
• 7+ years of hands-on Android development experience.
• 5+ years of Kotlin development experience.
• Strong experience with Jetpack Compose.
• Proven experience making architectural decisions within an existing Android application.
• Hands-on experience implementing MVVM and Clean Architecture principles.
• Experience integrating third-party SDKs and adding libraries within complex Android projects.
• Experience implementing REST API integrations and managing dependencies.
• Strong unit testing experience and experience improving application stability.
• Experience contributing to accessibility (ADA) improvements.
• Hands-on experience with Google Play Console, including publishing and maintaining Android applications.
• Experience working in Agile development environments.
• Must be authorized to work in the U.S. without sponsorship and able to convert to a full-time W-2 employee upon completion of the contract.

Technical Skills

• Kotlin, Android Studio, Jetpack Compose
• MVVM, Clean Architecture
• Hilt, Gradle
• JSON, REST APIs
• SDK & third-party library integration
• Firebase, Crashlytics, Adobe Analytics, Google Analytics
• Push Notifications
• CI/CD integrations at the Android application level
• AI-assisted development tools (e.g., GitHub Copilot)

Work Environment

• Hybrid schedule (Irving, TX)
• On-call support may be required.
• Occasional weekend or evening work may be required.

*Final compensation will be determined based on experience, skills, and location*

We are seeking a highly skilled Senior Splunk Enterprise Security Engineer to join our dynamic Security Engineering & Architecture team in Irving, TX. This is an exciting opportunity to lead the deployment, optimization, and administration of our Splunk Enterprise Security (ES) platform within a cloud-based environment. The ideal candidate will have extensive hands-on experience with Splunk ES, cloud security platforms, and a deep understanding of SIEM operations at an enterprise scale. This role offers a chance to work in a complex, high-volume environment and make a significant impact on the organization’s security infrastructure.

Job Title: Senior Splunk Security Engineer

Job Location: Irving, TX 75063

Job Duration: 12 Months with possible extension

Comments: The candidate must have hands-on Splunk expertise, with a minimum of 5+ years specific to Splunk Enterprise Security.

Additional Skills: Splunk Enterprise Security Administrator, Splunk Cloud Administrator.

Job Description:

We are seeking a Senior Splunk Enterprise Security Engineer to join our Security Engineering & Architecture team in Irving, TX. In this high-impact individual contributor role, you will own the deployment, optimization, and day-to-day administration of our Splunk Enterprise Security (ES) platform across a cloud-based environment supporting one of the largest retail operations in the country.

You will be the go-to subject matter expert for Splunk ES, partnering with SOC analysts, threat intelligence teams, compliance stakeholders, and IT leadership to ensure our security monitoring platform delivers maximum visibility, reliability, and value. This is a hands-on, technically deep role for someone who thrives in complex, high-volume environments and takes pride in building resilient security infrastructure.

Responsibilities:

• Lead the end-to-end administration of Splunk Enterprise Security across a cloud-hosted (AWS/Azure/GCP) deployment, including architecture decisions, capacity planning, performance tuning, and version upgrades.
• Design, implement, and maintain ES frameworks including notable event configurations, risk-based alerting, asset and identity correlation, and threat intelligence integrations.
• Develop and optimize correlation searches, dashboards, and investigation workflows to reduce alert fatigue and accelerate analyst response times.
• Drive data source onboarding and ensure CIM (Common Information Model) compliance for new and existing log sources across the enterprise.
• Partner with compliance teams to ensure Splunk ES configurations directly support PCI DSS, SOX, and NIST CSF audit and reporting requirements.
• Establish and maintain health monitoring for the Splunk environment, including search performance, indexing throughput, forwarder connectivity, and license utilization.
• Create and maintain operational documentation, runbooks, and knowledge base articles for Splunk ES administration and troubleshooting.
• Serve as the escalation point for complex Splunk issues and participate in incident response efforts during critical security events as needed.
• Evaluate and recommend new Splunk apps, add-ons, and integrations that strengthen the organization’s security posture.
• Collaborate with Security Architecture peers to align Splunk ES capabilities with the broader security tooling ecosystem and long-term technology roadmap.

Required Skills:

• 5+ years of hands-on experience with Splunk platform administration, with significant depth in Splunk Enterprise Security.
• Active Splunk certifications required: Splunk Enterprise Certified Admin and/or Splunk ES Certified Admin.
• Proven experience managing Splunk deployments in cloud environments (AWS, Azure, or GCP).
• Deep understanding of security monitoring, log management, SIEM operations, and event correlation at enterprise scale.
• Working knowledge of PCI DSS, SOX, and NIST CSF compliance frameworks and how they translate into SIEM use cases and reporting requirements.
• Strong SPL (Search Processing Language) proficiency, including complex statistical commands, lookups, macros, and data models.
• Experience with Splunk infrastructure components: indexers, search heads, heavy/universal forwarders, deployment servers, and cluster management.
• Excellent communication skills with the ability to translate complex technical concepts for non-technical stakeholders.

Desired Skills:

• Experience in large-scale retail or similarly complex, high-transaction-volume environments.
• Familiarity with Splunk SOAR (formerly Phantom) and security automation/orchestration workflows.
• Background in detection engineering, threat hunting, or SOC operations.
• Additional certifications such as CISSP, GIAC (GCIA, GCIH), or cloud security credentials (AWS Security Specialty, AZ-500).
• Experience with Infrastructure as Code (Terraform, Ansible) for Splunk deployment management.
• Scripting proficiency in Python, Bash, or PowerShell for automation and custom integrations.

***Only W2 candidates accepted***

About the Company

For these specific roles, we are looking for engineers familiar with Cyber Threat Intelligence/Threat Hunting tools and procedures. Secondary skills in other areas listed below are highly desirable. We want team members who will take ownership of issues and drive them to resolution, not simply perform tasks as assigned. You will work with and act as a subject matter expert (SME) on at least one specialization within the Cyber Defense Operations domain. You will participate in investigations into security incidents and violations, and will thus be responsible for sensitive information relevant to employees, contractors, vendors, etc. of the company. As such, you will be expected to have the ability to pass a detailed background investigation, and maintain impeccable standards of confidentiality, morality, and ethics. You must have a passion for learning new technologies, not simply working with what you already know. You will be provided with the tools to produce your own career success, but are expected to have the ability to pass a detailed background investigation.

About the Role

Key player on a team responsible for all aspects of Cyber Defense within the company. Will be a SME in at least one area listed below and are expected to have full professional knowledge of security concepts and company objectives to resolve a wide range of issues in effective and sometimes creative ways, in all of the following domains.

Responsibilities

• Incident response (to include triage, playbooks, investigation, write-ups, escalations)
• Forensic analysis
• Malware analysis
• Protocol analysis
• Endpoint protection
• Data loss prevention
• Email security
• Cyber threat intelligence
• Threat research and creation of compensating controls
• Assist in developing and maintaining cyber security policies, standards, processes and workflows.
• Provide suggestions to team lead/manager in creating your professional development and training plan.
• Prioritize taskings and projects assigned based on importance to accomplishment of business objectives.
• Occasionally assist junior teammates with maintaining proper prioritization.
• Solve diverse and complex issues where analysis of situations and data requires in-depth evaluation of identifiable factors.
• Provide escalation support and technical guidance to teammates in areas where you are a SME.
• Work on projects assigned to you, in effort to advance partnership opportunities between Cyber Defense Operations (CDO) team and other business areas.
• Work with senior engineers to define cyber security requirements for current and future state end-to-end architectures and platforms to advance security controls and the security posture of the business.
• Assist senior engineers in collaborating with development and engineering teams to prioritize security risks, provide mitigation or remediation recommendations, and implement compensating controls.
• Perform risk quantification and third-party risk management reviews as required.
• Perform cyber security platform testing, and work with other teams to ensure vulnerability remediation and operating system hardening to reduce attack surface.
• Assist in performing proof-of-concept testing for cyber defense solutions under consideration for purchase and implementation.
• Work with senior engineers in identifying cyber security products and technologies that can enhance the company’s mission by providing appropriate protection for all data in our environment, or sent or received to/from various public or private clouds, or the Internet at large.
• Consistently demonstrate the company Leadership Principles for Cyber Defense Operations team.

Qualifications

• Bachelor’s degree in related field
• 5 years of related experience with Bachelor’s, 3 years with Master’s

Required Skills

• Experience with at least one major SOAR and one major SIEM product
• Familiarity with operation of other security devices (firewall, proxy server, VPN, IPS, etc.)
• Advanced knowledge of TCP/IP protocols
• At least one entry-level vendor-neutral certification in the Information Security arena or equivalent experience

Preferred Skills

• Master’s or equivalent experience
• At least one non-entry-level vendor-neutral certification in the Information Security arena (CISSP, CISM, GISP, etc.) or equivalent experience

Are you a Project Manager who enjoys seeing complex custom builds come to life—from design drawings to finished installations?

Our client, creates custom fixtures, displays and food equipment for the nation's premier grocery, retail and restaurant brands. With over 40 years of experience in metal, millwork and refrigeration displays, they are a trusted partner in creating a unique customer experience.

Their teams design and manufacture custom store fixtures, architectural millwork, metal displays, and specialized refrigeration environments used inside supermarkets, restaurants, convenience stores, and retail spaces. These are not cookie-cutter builds—every project is unique and requires strong coordination between engineering, manufacturing, and installation teams.

If you thrive in a fast-paced environment where you can own projects end-to-end and work closely with shop teams and customers, this role offers the opportunity to make a real impact.

What You'll Be Responsible For:

Lead Custom Manufacturing Projects

• Manage projects involving custom millwork, woodworking, fabricated metal components, and retail fixtures.
• Develop and manage project schedules using Microsoft Project to ensure successful execution.
• Coordinate activities across engineering, purchasing, manufacturing, and installation teams.

Work Directly With Customers

• Serve as the primary point of contact for customers, contractors, and project stakeholders.
• Ensure expectations, timelines, and deliverables are clearly defined and executed.
• Maintain strong customer relationships throughout the project lifecycle.

Manage Drawings, Production & Project Execution

• Coordinate engineering drawings, approvals, and production documentation.
• Ensure shop teams have the correct materials, finishes, and production specifications.
• Align manufacturing and installation teams to ensure projects stay on schedule.

Manage Project Scope & Changes

• Handle change orders, revised purchase orders, and project revisions.
• Prepare cost estimates and project quotations when required.
• Track project progress, materials usage, and labor to maintain profitability.

Drive Continuous Improvement

• Participate in post-project reviews with engineering and manufacturing teams.
• Identify opportunities to improve processes, project execution, and cost performance.

What We're Looking For:

We're seeking Project Managers who understand the manufacturing side of building custom environments and physical products.

Ideal Background Includes Experience With:

• Commercial Custom millwork or woodworking manufacturing
• Commercial Architectural millwork or cabinetry

OR

• Retail fixture manufacturing
• Metal fabrication or mixed-material manufacturing
• Custom store environments or commercial interiors

Qualifications

• 2-5+ years of Project Management experience in commercial manufacturing, millwork, construction, or fabrication environments
• Experience managing projects involving commercial woodworking, millwork, cabinetry, or metal fabrication
• Experience coordinating engineering drawings, production teams, and installation crews
• Experience working directly with customers, contractors, or retail brands
• Ability to manage multiple projects simultaneously in a fast-paced environment

Technical Skills

• Experience with CAD, Microsoft Project or similar scheduling/design tools
• Ability to read engineering drawings, shop drawings, and specifications
• Experience with estimating, quoting, and project cost tracking

About the Role

Our Decision Intelligence (DI) team is seeking a Senior / Lead Data Architect to drive enterprise data strategy and accelerate AI‑enabled transformation across McKesson. DI plays a critical role in enabling data‑driven change and delivering measurable business value through high‑quality data, advanced analytics, and intelligent automation.

This role will define and evolve the enterprise‑wide data and semantic architecture required to support AI‑driven insights, agentic automation, and next‑generation data products. The ideal candidate is a strategic thought partner, a hands‑on architect, and a leader capable of translating business outcomes into scalable technical solutions.

Responsibilities

Data Architecture Leadership

• Architect canonical data domains across customer, product, pricing, supply chain, contracting, and financial performance.
• Design semantic layers, business ontologies, subject‑area models, and metric definition frameworks to power enterprise AI agents and decisioning systems.
• Define architectural principles for data interoperability, lineage, access control, security, and multi‑cloud integration.
• Align data platform and architecture decisions with the USPD AI Roadmap and enterprise AI strategy.

Establish standards and patterns for:

• RAG pipelines
• Vector search
• Metadata-driven orchestration
• Multi-modal ingestion (text, events, real-time signals)

Provide architectural oversight and strategic guidance across enterprise data products including:

• Finance, Pricing, and Supply Chain Data Products
• FIA
• ContractIQ
• Specialty Leakage Agents
• Design a robust, scalable, and interoperable data environment that supports AI-ready, governed, high-quality enterprise data.
• Influence programs and project teams on best practices related to data quality, architecture, modeling, observability, and governance.
• Leverage data architecture frameworks to translate complex relational entities into business cases, use cases, and AI-enablement requirements.
• Partner with product, engineering, and analytics leaders to accelerate data product creation and improve enterprise decision intelligence maturity.

Advanced Data System Design

• Architect complex distributed data systems that ensure scalability, performance, reliability, and real-time integration across business-critical operations.
• Design and govern enterprise-wide data models, data flows, reference architectures, and integration patterns.

Produce high-quality data design deliverables including:

• Data models
• Entity relationship diagrams (ERDs)
• Data flow diagrams
• System interface schemas
• Comprehensive data dictionaries and metadata documentation
• Ensure optimal functioning of AI/ML pipelines, including data quality controls, observability patterns, and architecture for low-latency analytics.
• Guide engineering teams on reusable patterns for ingestion, transformation, curation, semantic enrichment, and operationalization.

Minimum Qualifications

• 7+ years of experience in data engineering, data architecture, or enterprise data platform development.
• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related field.

Required Skills

• 7+ years designing enterprise data architecture across large, complex organizations.
• Demonstrated experience with Enterprise data modeling, semantic layers, canonical domains
• Large-scale integration across heterogeneous systems
• Databricks, Snowflake, MDM platforms, SAP, Salesforce/Conga
• Designing intuitive architectural patterns to simplify complex data landscapes.
• Strong understanding of data quality frameworks, governance, lineage, metadata, and regulatory compliance.

Leadership Skills

• Ownership-driven leader with a track record of guiding engineering teams through delivery.
• Acts as a change champion, elevating architecture maturity and influencing cross-functional adoption of best practices.

Strategic Thinking

• Strong analytical capability and the ability to develop long-term data strategies aligned to enterprise objectives and future-state AI readiness.

Problem Solving

• Creative, innovative problem solver capable of architecting solutions for highly complex data and AI challenges.

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

Title: AI Research Scientist

Location: San Jose, CA

Responsibilities:

• Design, execute, and analyze machine learning experiments, establishing strong baselines and selecting appropriate evaluation metrics.
• Stay up to date with the latest AI research; identify, adapt, and validate novel techniques for company-specific use cases.
• Define rigorous evaluation protocols, including offline metrics, user studies, and adversarial (red team) testing to ensure statistical soundness.
• Specify data and annotation requirements; develop annotation guidelines and oversee quality control processes.
• Collaborate closely with domain experts, product managers, and engineering teams to refine problem statements and operational constraints.
• Develop reusable research assets such as datasets, modular code components, evaluation suites, and comprehensive documentation.
• Work alongside ML Engineers to optimize training and inference pipelines, ensuring seamless integration into production systems.
• Contribute to academic publications and represent the company in research communities, as needed.

Educational Qualifications:

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field is strongly preferred.
• Candidates with a master’s degree and exceptional research or industry experience will also be considered.

Industry Experience:

• 3–5 years of experience in AI/ML research roles, ideally in applied or product-focused environments.
• Demonstrated success in delivering research-driven solutions that have been deployed in production.
• Experience collaborating in cross-functional teams across research, engineering, and product.
• Publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ACL, CVPR) are a plus.

Technical Skills:

• Strong foundational knowledge in machine learning and deep learning algorithms.
• Hands-on experience with PEFT/LoRA, adapters, fine-tuning techniques, and RLHF/RLAIF (e.g., PPO, DPO, GRPO).
• Ability to read, implement, and adapt state-of-the-art research papers to real-world use cases.
• Proficiency in hypothesis-driven experimentation, ablation studies, and statistically sound evaluations.
• Advanced programming skills in Python (preferred), C++, or Java.
• Experience with deep learning frameworks such as PyTorch, Hugging Face, NumPy, etc.
• Strong mathematical foundations in probability, linear algebra, and calculus.
• Domain expertise in one or more areas: natural language processing (NLP), symbolic reasoning, speech processing, etc.
• Ability to translate research insights into roadmaps, technical specifications, and product improvements.

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

Title: Machine Learning Engineer

Location: San Jose, CA

Responsibilities:

• Productize and optimize models from Research into reliable, performant, and cost-efficient services with clear SLOs (latency, availability, cost).
• Scale training across nodes/GPUs (DDP/FSDP/ZeRO, pipeline/tensor parallelism) and own throughput/time-to-train using profiling and optimization.
• Implement model-efficiency techniques (quantization, distillation, pruning, KV-cache, Flash Attention) for training and inference without materially degrading quality.
• Build and maintain model-serving systems (vLLM/Triton/TGI/ONNX/TensorRT/AITemplate) with batching, streaming, caching, and memory management.
• Integrate with vector/feature stores and data pipelines (FAISS/Milvus/Pinecone/pgvector; Parquet/Delta) as needed for production.
• Define and track performance and cost KPIs; run continuous improvement loops and capacity planning.
• Partner with ML Ops on CI/CD, telemetry/observability, model registries; partner with Scientists on reproducible handoffs and evaluations.

Educational Qualifications:

• Bachelors in computer science, Electrical/Computer Engineering, or a related field required; Master’s preferred (or equivalent industry experience).
• Strong systems/ML engineering with exposure to distributed training and inference optimization.

Industry Experience:

• 3–5 years in ML/AI engineering roles owning training and/or serving in production at scale.
• Demonstrated success delivering high-throughput, low-latency ML services with reliability and cost improvements.
• Experience collaborating across Research, Platform/Infra, Data, and Product functions.

Technical Skills:

• Familiarity with deep learning frameworks: PyTorch (primary), TensorFlow.
• Exposure to large model training techniques (DDP, FSDP, ZeRO, pipeline/tensor parallelism); distributed training experience a plus
• Optimization: experience profiling and optimizing code execution and model inference: (PTQ/QAT/AWQ/GPTQ), pruning, distillation, KV-cache optimization, Flash Attention
• Scalable serving: autoscaling, load balancing, streaming, batching, caching; collaboration with platform engineers.
• Data & storage: SQL/NoSQL, vector stores (FAISS/Milvus/Pinecone/pgvector), Parquet/Delta, object stores.
• Write performant, maintainable code
• Understanding of the full ML lifecycle: data collection, model training, deployment, inference, optimization, and evaluation.

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

Sr. Data Engineer (Hybrid)

Chicago, IL

The American Medical Association (AMA) is the nation's largest professional Association of physicians and a non-profit organization. We are a unifying voice and powerful ally for America's physicians, the patients they care for, and the promise of a healthier nation. To be part of the AMA is to be part of our Mission to promote the art and science of medicine and the betterment of public health.

At AMA, our mission to improve the health of the nation starts with our people. We foster an inclusive, people-first culture where every employee is empowered to perform at their best. Together, we advance meaningful change in health care and the communities we serve.

We encourage and support professional development for our employees, and we are dedicated to social responsibility. We invite you to learn more about us and we look forward to getting to know you.

We have an opportunity at our corporate offices in Chicago for a Sr. Data Engineer (Hybrid) on our Information Technology team. This is a hybrid position reporting into our Chicago, IL office, requiring 3 days a week in the office.

As a Sr. Data Engineer, you will play a key role in implementing
and maintaining AMA's enterprise data platform to support analytics,
interoperability, and responsible AI adoption. This role partners closely with
platform engineering, data governance, data science, IT security, and business
stakeholders to deliver highquality, reliable, and secure data products. This
role contributes to AMA's modern lakehouse architecture, optimizing data
operations, and embedding governance and quality standards into engineering
workflows. This role serves as a
senior technical contributor within the team-providing mentorship to junior
engineers and implementing engineering best practices within the data platform function,
in alignment with architectural direction set by leadership.

RESPONSIBILITIES:

Data Engineering & AI Enablement

• Build and maintain scalable data pipelines and
  ETL/ELT workflows supporting analytics, operational reporting, and AI/ML use
  cases.
• Implement best practice patterns for ingestion,
  transformation, modeling, and orchestration within a modern lakehouse
  environment (e.g., Databricks, Delta Lake, Azure Data Lake).
• Develop highperformance
  data models and curated datasets with strong attention to quality, usability,
  and interoperability; create reusable engineering components and automation.
• Collaborate with the Architecture Team, the Data
  Platform Lead, and federated IT teams to optimize storage, compute, and
  architectural patterns for performance and costefficiency.
• Build model-ready data sets and feature
  pipelines to support AI/ ML use cases; serve as a technical coordination point
  supporting business units' AI-related infrastructure needs.
• Collaborate with data scientists and AI Working
  Group to operationalize models responsibly and maintain ongoing monitoring
  signals.

Governance, Quality & Compliance

• Embed data governance, metadata standards,
  lineage tracking, and quality controls directly into engineering workflows;
  ensure technical implementation and alignment within engineering workflows.
• Work with the Data Governance Lead and business
  stakeholders to operationalize stewardship, classification, validation,
  retention, and access standards.
• Implement privacybydesign and securitybydesign
  principles, ensuring compliance with internal policies and regulatory
  obligations.
• Maintain documentation for pipelines, datasets,
  and transformations to support transparency and audit requirements.

Platform Reliability, Observability & Optimization

• Monitor and troubleshoot pipeline failures,
  performance bottlenecks, data anomalies, and platformlevel issues.
• Implement observability tooling, alerts,
  logging, and dashboards to ensure endtoend reliability.
• Support cost governance by optimizing compute
  resources, refining job schedules, and advising on efficient architecture.
• Collaborate with the Data Platform Lead on
  scaling, configuration management, CI/CD pipelines, and environment management.
• Collaborate with business units to understand
  data needs, translate them into engineering requirements, and deliver
  fit-for-purpose data solutions; share and apply best practices and emerging
  technologies within assigned initiatives.
• Work with IT Security and Legal/ Compliance to
  ensure platform and datasets meet risk and regulatory standards.
  

Staff Management

• Lead, mentor, and provide management oversight
  for staff.
• Responsible for setting objectives, evaluating
  employee performance, and fostering a collaborative team environment.
• Responsible for developing staff knowledge and
  skills to support career development.

May include other responsibilities as assigned

REQUIREMENTS:

1. Bachelor's degree in Computer Science, Engineering, Information Systems, or related field preferred or equivalent work experience and HS diploma/equivalent education required.
2. 5+ years of experience in data engineering within cloud environments
3. Experience in people management preferred.
4. Demonstrated hands-on experience with modern data platforms (Databricks preferred).
5. Proficiency in Python, SQL, and data
   transformation frameworks.
6. Experience designing and operationalizing
   ETL/ELT pipelines, orchestration workflows (Airflow, Databricks Workflows), and
   CI/CD processes.
7. Solid understanding of data modeling,
   structured/unstructured data patterns, and schema design.
8. Experience implementing governance and quality
   controls: metadata, lineage, validation, stewardship workflows.
9. Working knowledge of cloud architecture, IAM,
   networking, and security best practices.
10. Demonstrated ability to collaborate across
    technical and business teams.
11. Exposure to AI/ML engineering concepts, feature
    stores, model monitoring, or MLOps patterns.
12. Experience with infrastructureascode
    (Terraform, CloudFormation) or DevOps tooling.

The American Medical Association is located at 330 N. Wabash Avenue, Chicago, IL 60611 and is convenient to all public transportation in Chicago.

This role is an exempt position, and the salary range for this position is $115,523.42-$150,972.44. This is the lowest to highest salary we believe we would pay for this role at the time of this posting. An employee's pay within the salary range will be determined by a variety of factors including but not limited to business consideration and geographical location, as well as candidate qualifications, such as skills, education, and experience. Employees are also eligible to participate in an incentive plan. To learn more about the American Medical Association's benefits offerings, please click here.

We are an equal opportunity employer, committed to diversity in our workforce. All qualified applicants will receive consideration for employment. As an EOE/AA employer, the American Medical Association will not discriminate in its employment practices due to an applicant's race, color, religion, sex, age, national origin, sexual orientation, gender identity and veteran or disability status.

THE AMA IS COMMITTED TO IMPROVING THE HEALTH OF THE NATION

Power Distribution and Make Ready Designer

Overhead Utility Pole Design • Joint-Use Engineering • NESC-Compliant Make-Ready Work

Location: Kalamazoo, MI / Remote (U.S.)

Are you an experienced Power Distribution Designer or Make-Ready Designer looking to support meaningful utility engineering projects? Join a team that values accuracy, collaboration, and long-term professional growth.

ABOUT THIS OPPORTUNITY
We are seeking skilled Make-Ready Designers (primary focus) and Power Distribution Designers to support engineering programs for major electric and telecom utilities. Ideal candidates bring demonstrated experience in overhead utility pole design, NESC application, clearance assessment, pole loading analysis, and construction package development. Useful design platforms include DDS, Katapult, O-Calc, GIS, MicroStation, AutoCAD, or client-specific drafting systems.

In this role, you will review field/walkout data, evaluate existing attachment conditions, model pole loading, determine make-ready requirements, and prepare accurate construction-ready deliverables. Applicants without utility pole design or distribution engineering experience will not be considered.

Note: This position is remote, but new hires must attend a 2-week paid, in-person orientation at our Perrysburg, OH headquarters.

WHAT YOU WILL DO
• Execute overhead distribution and make-ready design work orders while meeting quality, time, and budget expectations
• Apply established engineering design standards, NESC requirements, and internal processes
• Perform end-to-end make-ready, joint-use, and/or general distribution design
• Conduct permitting and easement research (pole ownership, ROW, property rights, approvals)
• Collaborate with team members to resolve design challenges and ensure accurate deliverables
• Use design software such as AutoCAD, MicroStation, DDS, PoleForeman, O-Calc, Katapult, or client systems
• Perform quality control reviews when required
• Support additional duties as assigned

TOP COMPETENCIES & SKILLS
Make-Ready Engineering, Joint-Use Design, Pole Loading Analysis, Utility Pole Design, Overhead Distribution Design, NESC Compliance, Utility Engineering, Pole Attachments, Make-Ready Construction, Aerial Design, Utility Coordination, Right-of-Way Permitting, Pole Replacement Design, Make-Ready Estimates, Field Survey Interpretation, CAD for Utility Design, GIS for Utility Design, Electrical Distribution Design, Utility Construction Standards, Telecommunications Make-Ready

WHAT WE’RE LOOKING FOR
• High school diploma or equivalent required; an associate degree or higher in engineering, drafting, or a related field is preferred
• Minimum 2 years of experience in make-ready engineering, joint-use design, or electric power distribution design (3+ years strongly preferred)
• Proven experience in utility pole design, including NESC application, clearance analysis, pole loading concepts, and preparation of construction-ready design packages
• Proficiency with CAD or MicroStation; experience with DDS, Katapult, O-Calc, or similar utility design platforms is strongly preferred
• Solid understanding of power distribution construction practices, with the ability to learn utility-specific proprietary systems efficiently
• Must hold a valid driver’s license, maintain active auto insurance, and pass all required background, drug, and MVR screenings
• Authorization to work in the United States is required
• Willingness to travel occasionally, including minimal overnight travel when project needs require
• Ability to work a standard Monday–Friday schedule aligned to Eastern Time, with Central/Mountain/Pacific adjustments as appropriate

PHYSICAL REQUIREMENTS
• Ability to work for extended periods using a computer keyboard, monitor, and telephone
• Ability to prepare and analyze data, review detailed information, and work with design tools requiring close vision, distance vision, color vision, peripheral vision, depth perception, and focus adjustment
• Ability to communicate effectively through oral and written channels

ABOUT SIGMA TECHNOLOGIES
Sigma Technologies is a growing engineering and design firm with 500+ team members across 30+ states. For over 25 years, we’ve supported major power and telecommunications utilities with work that directly impacts communities nationwide. Our core values — Safety, Honesty, Truth, and Decency — shape how we work and who we hire. We are TeamSigma™.

*To learn more about working at Sigma, view our video and career page.
* If you do not have Power Design experience, please refer to our other open positions: *While Designer openings are listed in multiple locations, you only need to apply to one, as they are remote roles.

WHAT WE OFFER
We want our Associates to stay healthy, happy, and secure. We offer a positive work environment with supportive coworkers, managers, and leaders, plus:

• No-cost monthly healthcare plan option for employees
• Competitive pay
• Medical, dental, and vision plans with up to 80% of the premium sponsored by Sigma
• 401(k) plan with matching contributions up to 5% of salary
• Paid holidays, vacation, and sick time
• Education and professional licensing assistance programs

This job advertisement is intended to outline the primary responsibilities and requirements of the role. It is not all-inclusive. Additional duties may be assigned as needed. This ad does not constitute an employment agreement, and job requirements may change based on organizational needs.

Pay is commensurate with experience and education. Sigma is an equal opportunity employer and does not discriminate based on race, color, gender, sexual preference, gender identity, age, religion, national origin, disability, genetic information, veteran/military status, or any classification protected by law.

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