Engineering Jobs in Pennsylvania Remote

A leading metals manufacturing business serving the aerospace sector is seeking an experienced Director of Operations to lead its Pittsburgh facility. This is a high-profile operational leadership role with a clear path to a Vice President position.

As Director of Operations, you will:

• Lead a site of approximately 500 employees and drive a $250M P&L.
• Deliver operational excellence, improving efficiency, output, and overall site performance.
• Implement lean manufacturing and continuous improvement initiatives.
• Ensure compliance with all aerospace standards, regulatory requirements, and quality systems.
• Partner with commercial and program leadership to support growth within the aerospace sector.
• Build and develop a high-performing leadership team and future operational leaders.

Candidate Requirements

• Proven senior leadership experience in metals manufacturing serving the aerospace industry (required).
• Demonstrated success managing large-scale operations (~500 employees) with full P&L responsibility.
• Track record of driving efficiency, capacity growth, and operational performance improvements.
• Deep knowledge of aerospace manufacturing standards, quality systems, and regulatory frameworks.
• Inspirational leader with the ability to develop talent and drive cultural change.
• Bachelor's degree in Engineering, Manufacturing, Operations Management, or related field; advanced degree preferred.

Why This Role

• Lead a strategically critical aerospace metals manufacturing site.
• Opportunity to transform operations, drive efficiency, and increase output.
• Clear succession path to Vice President level.
• Competitive executive compensation including bonus and long-term incentives.

This is an exceptional opportunity for a proven aerospace operations leader to make a measurable impact and take the next step toward executive leadership.

My lab is hiring a postdoc!

The Semantic Signals Lab at Carnegie Mellon University is looking for a postdoctoral researcher to join our team. By 2050, older adults will comprise 22% of the global population, placing greater demand on traditional healthcare systems. Meeting these challenges demand technical innovation at the interface of hardware, software, and intelligence. Our mission is to create scalable mobile systems for physiological intelligence using wireless sensing, signal processing, and AI. We invent bio- and physics-inspired hardware systems to decode hidden signals from the body and environment, and enable new sensory capabilities for millions of humans and machines.

Our innovations include using radar to contactlessly detect muscle fatigue and measure blood pressure, repurposing cheap earphone speakers to listen to heart valve mechanics, smartglasses that sense eye muscle signals to enable auto-focusing lenses for age-related vision loss, a smartphone attachment that isolates a speaker's voice in a noisy restaurant as assisitive listening aid, and transforming a standard tablet touchscreen into a sensor that can detect microliter-scale DNA samples.

Our work has been published in venues like SenSys, MobiSys, CHI, UIST, IROS, and Nature-family journals (Communications, Biomedical Engineering, Digital Medicine).

Pittsburgh is a great city, CMU is an amazing place to do research, and the lab has a collaborative, supportive culture. If this sounds like a fit, or if you know someone it might be a fit for, I'd love to hear from you. Feel free to DM me or email me at . I will be at CHI 2026 and SenSys 2026 this year where our lab will be presenting full-length papers, feel free to come find me for a chat if you're interested.

More about our work:

Hi Rameez here from Beaconfire. I hope you're doing well! We're currently hiring for an exciting MERN/MEAN Developer role, and I wanted to reach out to see if you or someone in your network might be interested. This is a fantastic opportunity to work on high-impact projects using modern technologies in a collaborative and growth-oriented environment.

About the Company

BeaconFire is based in Central NJ, specializing in Software Development, Web Development, and Business Intelligence; looking for candidates with a strong background in Software Engineering or Computer Science for a Python/Node Developer position.

About the Role

The role involves developing websites and writing scalable, secure, maintainable code while collaborating with team members to achieve project goals.

Responsibilities

• Develop websites using HTML, CSS, Node.js, React.js, and Angular2+, among other tools;
• Write scalable, secure, maintainable code that powers our clients' platforms;
• Create, deploy, and maintain automated system tests;
• Work with Testers to understand defects opened and resolves them in a timely manner;
• Supports continuous improvement by investigating alternatives and technologies and presenting these for architectural review;
• Collaborate effectively with other team members to accomplish shared user story and sprint goals;
• Invest time in constant professional development to stay up to date with new technological development and programming languages;
• Discover and fix programming bugs;
• Other duties as assigned.

Qualifications

• Proficient understanding of HTML and CSS;
• Experience in programming language JavaScript or similar (e.g. Java, Python, C, C++, C#, etc.) and understanding of the software development life cycle;
• Basic knowledge of code versioning (e.g. Git, SVN);
• A passion for coding pixel perfect web pages;
• Good verbal communication and interpersonal skills.

Required Skills

• Proficient understanding of HTML and CSS;
• Experience in programming language JavaScript or similar (e.g. Java, Python, C, C++, C#, etc.) and understanding of the software development life cycle;
• A passion for coding pixel perfect web pages;
• Good verbal communication and interpersonal skills.

Preferred Skills

• Bachelor's degree or higher in Computer Science or related fields;
• 0-1 year of practical experience in JavaScript coding;
• Familiarity with at least one JavaScript framework (Angular2+, React.js, Express.js);
• Experience with unit and integration testing of code, with an understanding of JavaScript testing frameworks like Jasmine, Cucumber, Mocha, and Karma;
• Experience providing REST/SOAP APIs for user interface consumption;
• Experience working within an Agile development methodology Scrum.

BeaconFire is an E-verified company and provides equal employment opportunities (visa sponsorship provided).

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Oxford Solutions is working with an engineering consulting client seeking a Proposal Writer to support their marketing and business development efforts. This role is ideal for someone early in their career who has at least some hands-on proposal writing experience and is comfortable using Adobe InDesign. The position focuses on developing clear, well-organized proposals and marketing materials in response to RFPs and RFQs.

Responsibilities

• Assist with the development and submission of proposals in collaboration with the marketing team
• Review RFP and RFQ documents to identify key requirements and deadlines
• Gather information from engineers, project managers, and internal teams to support proposal content
• Write, edit, and format proposal documents, qualifications packages, and marketing materials
• Ensure proposals are accurate, compliant, and visually consistent
• Make updates and revisions based on internal feedback
• Proofread all materials for clarity, grammar, and completeness
• Track proposal opportunities and maintain internal documentation
• Support general marketing and administrative tasks as needed

Qualifications

• Bachelor's degree in English, Communications, Journalism, or a related field.
• 2 to 5 years of proposal writing, marketing, or similar experience
• Experience using Adobe InDesign is required
• Strong writing and editing skills with attention to detail
• Ability to organize information and follow structured requirements
• Comfortable working with technical or detailed content
• Proficiency with Microsoft Office
• Strong communication and organizational skills

This is a great opportunity for someone looking to grow their career in proposal writing within a technical environment.

Proposal Writer – Engineering Consulting - 26-00194

Mechanical Design Engineer

$80,000 - $110,000 + Quarterly Bonuses + Progression to Management + PTO + Holiday + Medical + Dental + Vision + Life Insurance + 401K + Other Excellent Benefits.

Langhorne, Pennsylvania (Commutable from Philadelphia, Doylestown, Newton, Hatboro, Levittown, Morrisville, Bristol, Cherry Hill, Princeton, Trenton).

Are you a Mechanical Design Engineer from an Industrial Manufacturing background, ready to take the next step into a high-impact technical leadership role, where you'll have the autonomy to fully own and drive the mechanical design process?

This is a standout opportunity to establish yourself as the go-to expert for mechanical design, with clear progression into management or senior leadership, in addition to competitive quarterly bonuses and comprehensive training on machinery unique to the business.

Now is the time to join this industry leading organization, at a cutting edge, state-of-the-art manufacturing facility. Renowned for their quality, innovation, and employee development, you'll play an integral part in continuing their legacy as a market leader, whilst growing your own horizons both personally and professionally.

In this role, your expertise will be instrumental in the design and optimisation of mechanical powertrain systems and components. You will take ownership of designing fabricated weldments and precision-machinery, whilst applying FEA to assess structural, thermal, and vibration performance. You'll work closely alongside engineers, vendors, and cross-functional teams, to produce manufacturing drawings, support component selection, and deliver solutions that meet performance, reliability and manufacturability targets.

This role would suit a Mechanical Design Engineer with Industrial Manufacturing experience, looking to step-into a high-impact technical leadership role with extensive growth potential and progression towards senior leadership.

The Role:

• Design and optimise large-scale industrial equipment and mechanical powertrain components.
• Perform mechanical system analysis (including FEA) and produce detailed manufacturing drawings.
• Collaborate with engineers, project teams, and vendors to specify components and ensure designs meet manufacturing requirements.

The Candidate:

• Strong mechanical design background with proficiency in 3D CAD (Autodesk Inventor preferred) and Finite Element Analysis.
• Solid understanding of mechanical systems (including pneumatics), ideally with experience in industrial equipment, automation, or robotics.
• Degree qualified (Bachelors).

To apply for this role or to be considered for further roles, please click \"Apply Now\" or contact Oliver George at Rise Technical Recruitment.

Rise Technical Recruitment Ltd acts an employment agency for permanent roles and an employment business for temporary roles.

The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set. We are an equal opportunities employer and welcome applications from all suitable candidates.

Mechanical Design Engineer, Mechanical Engineer, Design Engineer, Mechanical Design, Design, Mechanics, FEA, Finite Element Analysis, Weldments, Precision Machining, Mechanical Powertrains, Mechanical Components, Autodesk, SolidWorks, CAD, 3D CAD, Engineering, Langhorne, Pennsylvania.

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.

PM22
#Remote

PI7087748e2d7e-3631

*Securian Financial Groups internal position title isInfrastructure Consultant.

Position Summary:

We are looking for an AWS Dev OpsEngineer with hands-on experience in AWS Tools to help build and maintain cloud infrastructure that supports our data and analytics platforms. This role is ideal for someone with a solid foundation in cloud engineering who is ready to take ownership of infrastructure components and collaborate across teams to deliver scalable, secure, and efficient solutions. Executes projects to research, proof of concept, and implement new solutions. Maintains awareness of trends and technologies to meet new and emerging stakeholder requirements.

Responsibilities include but not limited to:

• Champion the selection of Data and Analytics platforms and tools to be used across the enterprise.
• Engage with users and vendors to execute technology proof of concepts that validate use cases and the value of new solutions.
• Onboard new platforms and tools to ensure solutions are adopted effectively across the organization.
• Collaborate with Data Engineering and Data Science teams to identify tooling gaps and inefficiencies and partner to implement solutions for their needs.
• Build and maintain AWS infrastructure using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation.
• Configure and manage core AWS services including EC2, S3, IAM, RDS, Lambda, Glue, Redshift and VPC Networking.
• Support data engineering and analytics teams by provisioning and optimizing cloud resources for data pipelines and analytics workloads.
• Implement monitoring, logging, and alerting solutions using tools like CloudWatch.
• Participate in CI/CD pipeline development and deployment automation.
• Ensure infrastructure security through proper IAM policies, encryption, and network configurations.
• Collaborate with data engineers, data scientists, and solution architects to improve infrastructure design and performance.
• Document infrastructure processes and configurations for operational transparency and team knowledge sharing.
• Ability to work with ambiguity and organize requirements to identify options.
• Ability to build productive relationships and collaborate with partners and stakeholders.
• Proficient in managing and maintaining Linux-based systems, including installation, configuration, performance tuning, and troubleshooting. Experienced with shell scripting, system security, user management, and automation tools to ensure reliable and efficient server operations.

Qualifications:

• 2-5 years of experience in cloud infrastructure engineering, with a focus on AWS.
• Experience working with structured and unstructured data and data storage technology RDS Postgres, S3
• Proficiency in Infrastructure as Code tools (Terraform, CloudFormation, or AWS CDK).
• Experience with AWS services relevant to data and analytics (e.g., Glue, Redshift).
• Familiarity with DevOps tools and practices (e.g., Git, GitHub, CI/CD, Docker).
• Basic scripting skills in Python, Bash, or PowerShell.
• Understanding of cloud networking, security, and cost optimization principles.
• Strong communication and collaboration skills.

Preferred Qualifications:

• AWS certification (e.g., AWS Certified Solutions Architect - Associate, Associate Developer or Associate Machine Learning Engineer).
• Exposure to big data tools and frameworks (e.g., Spark, Hive). Airflow, Control M, Streamsets
• Cloud Data Platforms: Snowflake, AWS Redshift, RDS, Postgres
• Data Governance & Cataloging: Informatica Intelligent Data Management Cloud (IDMC), Cloud Data Governance and Catalog (CDGC)
• Master Data Management: Reltio MDM for authoritative data domains
• AI Enablement: SageMaker, AWS Bedrock, Textract, etc. for AI development, MLflow for model lifecycle management
• Experience working in agile or cross-functional teams.

#LI-Hybrid**This position willhave a hybrid working arrangement, workingin-officefor a minimum of3days aweek.**

Securian Financial believes in hybrid work as an integral part of our culture. Associates get the benefit of working both virtually and in our offices. Ifyou'reina commutable distance (90 minutes)you'lljoin us 3 days each week in our offices to collaborate and build relationships. Our policy allows flexibility for the reality of business and personal schedules.

The estimated base pay range for this job is:

Pay may vary depending on job-related factors and individual experience, skills, knowledge, etc. More information on base pay and incentive pay (if applicable) can be discussed with a member of the Securian Financial Talent Acquisition team.

Be you. With us. At Securian Financial, we understand that attracting top talent means offering more than just a job - it means providing a rewarding and fulfilling career. As a valued member of our high-performing team, we want you to connect with your work, your relationships and your community. Enjoy our comprehensive range of benefits designed to enhance your professional growth, well-being and work-life balance, including the advantages listed here:

Paid time off:

• We want you to take time off for what matters most to you. Our PTO program provides flexibility for associates to take meaningful time away from work to relax, recharge and spend time doing what's important to them. And Securian Financial rewards associates for their service by providing additional PTO the longer you stay at Securian.

• Leave programs: Securian's flexible leave programs allow time off from work for parental leave, caregiver leave for family members, bereavement and military leave.

• Holidays: Securian provides nine company paid holidays.

Company-funded pension plan and a 401(k) retirement plan: Share in the success of our company. Securian's 401(k) company contribution is tied to our performance up to 10 percent of eligible earnings, with a target of 5 percent. The amount is based on company results compared to goals related to earnings, sales and service.

Health insurance: From the first day of employment, associates and their eligible family members - including spouses, domestic partners and children - are eligible for medical, dental and vision coverage.

Volunteer time: We know the importance of community. Through company-sponsored events, volunteer paid time off, a dollar-for-dollar matching gift program and more, we encourage you to support organizations important to you.

Associate Resource Groups: Build connections, be yourself and develop meaningful relationships at work through associate-led ARGs. Dedicated groups focus on a variety of interests and affinities, including:

• Mental Wellness and Disability

• Pride at Securian Financial

• Securian Young Professionals Network

• Securian Multicultural Network

• Securian Women and Allies Network

• Servicemember Associate Resource Group

For more information regarding Securian's benefits, please review our Benefits page.

This information is not intended to explain all the provisions of coverage available under these plans. In all cases, the plan document dictates coverage and provisions.

Securian Financial Group, Inc. does not discriminate based on race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, marital or familial status, pregnancy, disability, genetic information, political affiliation, veteran status, status in regard to public assistance or any other protected status. If you are a job seeker with a disability and require an accommodation to apply for one of our jobs, please contact us by email at , by telephone (voice), or 711 (Relay/TTY).

To view our privacy statement click here

To view our legal statement click here