Colab Python Jobs in Usa
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Presales Solution Architect – US
Series AI Start-up - AI/ML
Location: San Francisco Bay Area (Hybrid)
Salary: Market-leading salary package + stock + benefits
The Role
As a Presales Solution Architect, you’ll operate at the intersection of enterprise AI — helping organizations unlock predictive intelligence from the structured data that powers their business. You’ll work hand-in-hand with Enterprise Account Executives and technical stakeholders to identify architectural challenges, design scalable AI solutions, and guide customers through high-impact technical evaluations that directly drive revenue.
This role is perfect for someone energized by solving complex technical problems, engaging deeply with customers, and clearly articulating how advanced AI capabilities translate into measurable business outcomes. If you thrive in fast-growth environments and want to help enterprises operationalize next-generation AI at scale, you’ll excel here.
What You’ll Do & Achieve
- Drive technical discovery sessions to identify high-impact, high-value use cases where enterprise AI delivers measurable ROI.
- Collaborate with Sales to create compelling demos, run competitive benchmarks, and prototype solutions on customer datasets to accelerate deals.
- Own the technical vision for assigned customers, cultivating deep relationships with senior stakeholders and shaping long-term adoption strategies.
- Lead end-to-end solution delivery, coordinating cross-functional teams — including engineers, IT, governance, and business stakeholders — to remove blockers and ensure alignment.
- Architect scalable, production-ready solutions and integration patterns that perform reliably in complex enterprise environments, from on-prem systems to cloud VPCs and legacy infrastructure.
- Capture patterns and insights from deployments to generate high-impact engineering feedback, informing product and model development.
- Develop repeatable deployment strategies, reference architectures, and best-practice playbooks to accelerate the impact of the broader Solutions Architect team.
- Travel up to 50% of the time to engage directly with customers and deliver hands-on solution experiences.
Who You Are
- 7+ years in customer-facing technical roles (e.g., Solutions Architect, Sales Engineer, ML Engineer, Data Scientist) with proven success delivering complex AI or ML solutions.
- Track record leading enterprise-scale technical implementations, spanning modern Generative AI or traditional machine learning systems, across cloud and on-prem environments.
- Experienced navigating multi-stakeholder enterprise environments, balancing competing priorities, and driving deployments to completion.
- Exceptional communicator, capable of translating complex technical concepts for both technical and executive audiences.
- Hands-on technical expertise in data manipulation, rapid prototyping, and analysis using tools such as Python, Pandas, and SQL.
- Collaborative, cross-functional mindset — skilled at balancing trade-offs and working effectively across teams to achieve outcomes.
- Self-starter with the ability to own initiatives end-to-end, quickly fill knowledge gaps, and deliver results.
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Technical Delivery Executive
Position Overview
As a Technical Delivery Executive at Encore Talent Solutions, you will focus on full lifecycle recruiting for highly specialized technical roles within software engineering, data engineering, cloud, and modern application development environments.
This role is ideal for a recruiter with strong technical acumen who enjoys digging into engineering skill sets, understanding technical project requirements, and delivering high-quality candidates in fast-paced client environments.
You will partner closely with Account Executives and hiring managers to identify, assess, and place top technical talent in contract, contract-to-hire, and direct placement opportunities.
Key Responsibilities
Technical Sourcing & Talent Pipeline Development
- Source and engage technical professionals across software engineering and data-focused roles, including:
- Backend, Frontend, and Full Stack Engineers
- Data Engineers
- DevOps & Cloud Engineers
- QA Automation Engineers
- Application Support & Infrastructure Engineers
- Develop advanced Boolean searches across LinkedIn, job boards, and technical platforms.
- Build and maintain active pipelines of engineering talent aligned to current and anticipated client needs.
- Proactively identify passive candidates within competitive technical markets.
Technical Screening & Candidate Evaluation
- Conduct detailed phone screens to evaluate:
- Programming language proficiency (e.g., Java, .NET, Python, JavaScript frameworks)
- Cloud platform experience (AWS, Azure, GCP)
- Database technologies (SQL, NoSQL, Snowflake, etc.)
- DevOps tools and CI/CD pipelines
- Agile/Scrum experience and team collaboration
- Assess both technical competencies and cultural alignment.
- Accurately document candidate qualifications and feedback within the Applicant Tracking System (ATS).
Delivery & Process Management
- Submit qualified candidates to job requirements with clear, detailed write-ups.
- Coordinate interview scheduling and manage communication between candidates and clients.
- Maintain consistent follow-up throughout the recruitment lifecycle.
- Support offers negotiations and onboarding coordination.
- Ensure a high-quality candidate experience from initial outreach through placement.
Market & Technical Awareness
- Stay informed on evolving technological trends within:
- Application development
- Cloud migration
- Data platform modernization
- Automation and DevOps practices
- Continuously expand knowledge of technical terminology and emerging tools to improve screening effectiveness.
Required Qualifications
- 3–5 years of full lifecycle Information Technology recruitment experience.
- Demonstrated experience recruiting for software engineering, data engineering, or infrastructure roles.
- Working knowledge of modern technology stacks and development environments.
- Ability to interpret technical job descriptions and translate them into effective sourcing strategies.
- Strong verbal and written communication skills with a professional phone presence.
- Highly organized with the ability to manage multiple technical searches simultaneously.
- Ability to work in a fast-paced, deadline-driven environment.
- Strong attention to detail and commitment to quality.
Preferred Qualifications
- Experience within a staffing or consulting environment.
- Exposure to enterprise-level or product-based technology teams.
- Bachelor’s degree in communications, Business, Information Systems, or related field.
Core Competencies
- Technical curiosity and learning agility
- Strategic sourcing capability
- Relationship-building skills
- Accountability and follow-through
- Adaptability in changing technical markets
- Strong customer service mindset
Physical Requirements
- Prolonged periods of sitting at a desk and working on a computer.
- Must be able to lift up to 15 pounds at times.
Hi
I hope you’re doing well.
My name is Sai, and I’m an Account Manager with Astir IT Solutions. We are currently working with our client on a senior-level opportunity for Agentic AI QA Engineer at Dallas, TX (Need Locals)!
Based on your background, I believe this role could be a strong fit.
Job Title: Agentic AI QA Engineer
Location: Dallas, TX (Need Locals)
Experience: 10+ years
Position type: Contract W2/C2C
Required Qualifications
• 7+ years in Software QA/Testing, with 2+ years in AI/ML or LLM-based systems; hands-on experience testing agentic/multi-agent architectures.
• Strong programming skills in Python or TypeScript/JavaScript; experience building test harnesses, simulators, and fixtures.
• Experience with LLM evaluation (exact/soft match, BLEU/ROUGE, BERTScore, semantic similarity via embeddings), guardrails, and prompt testing.
• Expertise in distributed systems testing latency profiling, resiliency patterns (circuit breakers, retries), chaos engineering, and message queues.
• Familiarity with orchestration frameworks (LangChain, LangGraph, LlamaIndex, DSPy, OpenAI Assistants/Actions, Azure OpenAI orchestration, or similar).
• Proficiency with CI/CD (GitHub Actions/Azure DevOps), observability (OpenTelemetry, Prometheus/Grafana, Datadog), and feature flags/canaries.
• Solid understanding of privacy/security/compliance in AI systems (PII handling, content policies, model safety).
• Excellent communication and leadership skills; proven ability to work cross-functionally with Ops, Data, and Engineering.
Preferred Qualifications
• Experience with multi-agent simulators, agent graph testing, and tooling latency emulation.
• Knowledge of MLOps (model versioning, datasets, evaluation pipelines) and A/B experimentation for LLMs.
• Background in cloud (AWS), serverless, containerization, and event-driven architectures.
- Prior ownership of cost/latency/SLAs for AI workloads in production
If you are currently open to new opportunities, I would appreciate the chance to connect and discuss this role in more detail. Please let me know a convenient time for a quick call, or feel free to share your updated resume.
Looking forward to hearing from you.
Thanks & Regards.
Sai
Sr. Account Manager
Astir IT Solutions, Inc
Email ID: , Contact: 732-694-6000 * 795
We are partnering with a leading aerospace engineering organisation delivering advanced optical systems for spaceborne, airborne, and ground-based applications. This team supports the full lifecycle of high-performance optical payloads, from concept development through integration, environmental qualification, and flight readiness.
They are now seeking a Senior Opto-Mechanical Engineer with a strong optical foundation who enjoys working at the intersection of precision mechanics and high-performance imaging systems.
The Opportunity
This role is ideal for an engineer who understands optical performance first and mechanical design second. You will work on complex optical instruments supporting imaging across UV, VIS, SWIR, MWIR, and LWIR bands, as well as LiDAR and laser communication systems.
You will collaborate closely with optical engineers to translate optical prescriptions into robust, flight-ready hardware that maintains alignment, stability, and performance in demanding aerospace environments.
Key Responsibilities
- Lead opto-mechanical design of precision optical assemblies and instruments
- Work directly from optical prescriptions to develop mounts, barrels, benches, and structural architectures
- Perform tolerance analysis and contribute to optical error budgets
- Support alignment, integration, and test of optical payloads
- Evaluate optical performance impacts from thermal, structural, and dynamic loads
- Contribute to environmental qualification including vibration, shock, and thermal vacuum testing
- Collaborate cross-functionally with optical, thermal, electrical, and systems engineers
- Support technical proposals and concept development efforts
What We’re Looking For
- BS or MS in Mechanical Engineering, Optics, Physics, Aerospace, or similar
- 8+ years of experience supporting optical system development
- Strong understanding of optical fundamentals, imaging performance, and alignment principles
- Experience working with multi-spectral systems, LiDAR, or laser-based payloads preferred
- Background in precision structures, kinematic mounting, and stability design
- Experience with CAD tools such as SolidWorks
- Familiarity with FEA tools such as Ansys or NASTRAN
- Experience supporting optical integration and performance verification
- US Person status required
Preferred
- Zemax experience
- MATLAB or Python for optical data analysis
- Experience working on space-qualified hardware
This is an opportunity to work on mission-critical optical systems where performance, stability, and precision truly matter. If you enjoy solving complex optical challenges and seeing hardware go from design to flight, this role offers real technical depth and ownership.
UII America, Inc., a subsidiary company of Shanghai United Imaging Intelligence Healthcare Co. Ltd. (UII), is building an organization of highly-motivated, talented and skillful AI experts and software developers to strengthen our R&D power and address the need of our innovative products in the USA market. United Imaging Intelligence (UII) is committed to providing AI solutions for medical devices, imaging, and diagnosis – to helping clients better understand and embrace AI. United Imaging Intelligence is led by two world-renown leaders in the AI industry. Together, they will lead UII in focusing on “empowerment” and “win-win.” UII empowers doctors and equipment in order for doctors and hospitals to win, for research institutions to win, and for third-party companies to win. UII America, Inc. is building a world-class research and development team in Boston, MA.
We are seeking Research Interns to contribute to our R&D efforts in Artificial Intelligence, Medical Imaging, and Computer Vision. As a part of our team, you will collaborate with senior experts, tackle challenging technical problems, and gain valuable experience developing AI solutions for healthcare. Exceptional work during the internship may lead to contributions to practical product solutions or publications in top-tier journals and conferences.
Responsibilities:
- Conduct cutting-edge research on AI and Deep Learning algorithms to address challenges in medical imaging.
- Explore and develop medical image foundation models, multi-modality models, and generative AI techniques.
- Collaborate with senior team members to implement and refine advanced algorithms for medical imaging analysis and computer vision.
- Translate research findings into practical applications for real-world healthcare challenges.
- Contribute to team-oriented projects in a collaborative and innovative research environment.
- Stay updated on emerging trends and technologies in AI and medical imaging to drive impactful advancements.
Qualifications:
- Currently pursuing an MS or PhD in Computer Science, Electrical Engineering, Biomedical Engineering, Statistics, Applied Mathematics, or a related field.
- A proven track record of publications in relevant fields (e.g., Machine Learning, AI, Computer Vision, Medical Imaging) is a plus.
- Knowledge of state-of-the-art AI methods including deep learning, generative AI, foundation models and multi-modality models.
- Familiarity with medical imaging analysis or computer vision.
- Proficiency in Python and C/C++.
- Hands-on experience with deep learning frameworks such as PyTorch or TensorFlow.
- Strong problem-solving abilities, critical thinking, and self-motivation.
- Effective communication skills and a collaborative mindset.
At Applied Digital, we are the epicenter of AI innovation, crafting cutting-edge data center solutions tailored for the demands of high-performance computing. Designed from the ground up to support AI and machine learning workloads, our infrastructure is the backbone of tomorrow’s technological advancements, including AI-driven video and generative platforms.
We are:
- Forward-Thinkers: With a keen eye on current market trends and future innovations, we adapt swiftly and lead technological evolution.
- Resilient: We navigate complex challenges and emerge stronger, delivering robust and reliable solutions for industry pioneers.
- Innovative Designers: Leveraging the latest technologies, we create visionary solutions that redefine industry standards.
We remain committed and steadfast in solving intricate problems, advancing business initiatives, maximizing operational efficiency, and reducing our carbon footprint. We are a team of resilient, forward-thinking innovators driving the AI revolution.
Job Overview:
The Energy Optimization Associate is an entry-level to early-career position designed to support Applied Digital’s Energy Optimization Team through reporting, analytics, operational support, and data quality management. This role helps ensure accurate market intelligence, data flow, and documentation to enable real-time decision-making.
This is a foundational role with a clear growth path into Real-Time Scheduling, Curtailment Operations, Market Forecasting, or Optimization Analytics. The ideal candidate is curious, analytical, detail-oriented, and eager to learn power market dynamics, industrial load behavior, and curtailment strategy.
Candidates with backgrounds in utility operations support, engineering technology, energy analytics, industrial operations, or technical data roles are strong fits, as are high-potential candidates with strong quantitative or operational aptitude.
Key Responsibilities:
Operational Support & Reporting
- Compile daily operational reports summarizing price curves, curtailment events, operational status, and identified risk factors.
- Maintain optimization logs, data repositories, and documentation for real-time and day-ahead activities.
- Support Schedulers and Analysts by preparing datasets, charts, and summaries for morning and evening volatility windows.
- Track key KPIs including forecast accuracy, response time, savings performance, and execution compliance.
Data Management & Quality Assurance
- Perform data validation checks on SCADA inputs, market price feeds, and internal dashboards.
- Support reconciliation of curtailment events with settlement data and utility billing.
- Maintain historical archives of prices, load patterns, weather impacts, and operational adjustments.
Market & System Monitoring
- Monitor market notifications, outage advisories, weather alerts, and system operator bulletins.
- Provide early-warning flags to the team when conditions indicate potential volatility.
- Assist in documenting real-time issues or anomalies for post-event review.
Cross-Functional Coordination
- Collaborate with Operations, Engineering, and Site Leadership to collect operational metrics and contextual data.
- Help communicate upcoming volatility windows or operational changes to Operators.
- Assist with preparation for leadership briefings and performance reviews.
Growth & Skill Development
- Participate in structured training covering LMP fundamentals, curtailment strategy, grid operations, and forecasting basics.
- Shadow Real-Time Schedulers during morning and evening peaks.
- Take on increasingly complex tasks including basic modeling, forecasting, or intraday analysis as skills develop.
Required Qualifications:
- 0–3 years of experience in:
- Energy operations support
- Utility or industrial operations
- Technical analysis or reporting roles
- Engineering or quantitative support functions
- Strong analytical and critical-thinking skills.
- Proficiency in Excel/Google Sheets; ability to work with structured datasets.
- Strong communication, documentation, and organizational skills.
- Demonstrated ability to learn quickly in a fast-paced environment.
Preferred Qualifications:
- Exposure to power markets, grid operations, or SCADA systems.
- Experience with Python, SQL, Power BI, Tableau, or other analytic tools.
- Degree in engineering, economics, mathematics, energy systems, or related field.
- Prior experience supporting industrial loads, utilities, or operational teams.
Physical Requirements:
Able to remain in a seated position for an extended period and to lift and carry up to 15 lbs. (office manuals, case notebooks, case files, case materials, standard boxes, report binders, etc.) as needed.
Please note that Applied Digital is currently unable to sponsor new applicants for employment authorization or provide immigration-related support for this position. This includes, but is not limited to, visa categories such as H-1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1, O-1, and any Employment Authorization Documents (EADs) or other work authorizations that require employer sponsorship.
Working Conditions by Location:
Remote: The Company agrees that Employee may work from home provided employee is in good standing, has a continuous secured internet connection, necessary equipment, and is accessible by MS Teams, phone, fax, and email during business hours. (See Telework policy.)
Office Environment: Business office hours, with work hours necessary to satisfactorily perform job functions. Some overtime may be required to accomplish timely work demands and meet the company’s professional commitments. Overtime hours worked are paid to nonexempt employees at one and a half times their hourly pay rate.
The company has reviewed this job description to ensure that essential functions and basic duties have been included. It is intended to provide guidelines for job expectations and the employee's ability to perform the position described. It is not intended to be construed as an exhaustive list of all functions, responsibilities, skills and abilities. Additional functions and requirements may be assigned by supervisors as deemed appropriate. This document does not represent a contract of employment, and the company reserves the right to change this job description and/or assign tasks for the employee to perform, as the company may deem appropriate.
This job description in no way states or implies that these are the only duties to be performed by the employee(s) incumbent in this position. Employees will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. All duties and responsibilities are essential functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. To perform this job successfully, the incumbents acknowledge that they possess the skills, aptitudes, and abilities to perform each duty proficiently. Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others. This document does not create an employment contract, implied or otherwise, other than an “at will” relationship.
The company is an Equal Opportunity Employer, drug free workplace, and complies with ADA regulations as applicable.
HCLTech is looking for a highly talented and self- motivated [AI Success Engineer] to join it in advancing the technological world through innovation and creativity.
Job Title: [AI Success Engineer]
Job ID: (70183)
Position Type: Full-time
Location: Dallas, New jersey, Santa Clara, Seattle
Background:
Role Title
AI Success Engineer – Enterprise Technical Success (OpenAI / ChatGPT / Agents / API)
Location: Dallas, Santa Clara, Seattle, New jersey, Houston
Role Summary
AI Success Engineers are the primary post-sale technical owners for customer outcomes. They operate as trusted technical advisors who ensure customers deploy, adopt, and scale OpenAI capabilities into real workflows with measurable business value.
This role blends technical depth, program leadership, customer advisory, and product influence—driving account health, adoption velocity, and production readiness across OpenAI’s platform suite.
Key Responsibilities
1. Post-Sale Technical Ownership & Account Health
• Own technical success for a portfolio of strategic enterprise customers
• Act as customer-facing technical lead across deployment, adoption, and value realization
• Define and drive customer adoption roadmaps with milestones and KPIs
• Maintain strong stakeholder relationships across executive and practitioner levels
2. Workflow Discovery & Use Case Strategy
• Embed with customer teams to map workflows, pain points, and success criteria
• Identify, validate, and prioritize high-impact use cases
• Guide use case sequencing from prototype → pilot → production → scale
3. Deployment Readiness & Technical Enablement
• Guide architecture configuration and platform setup (SSO/SCIM, RBAC, connectors, etc.)
• Advise on integration patterns (RAG, tool calling, agents, evaluations)
• Run technical enablement sessions spanning ChatGPT Enterprise, API, agents, Codex as applicable
4. Program Coordination & Cross-Functional Navigation
• Coordinate account workstreams across Architecture, Adoption, Engineering, and Delivery teams
• Surface technical blockers and field patterns; escalate strategically to internal experts
• Feed customer insights into roadmap and platform improvement loops
5. Value Measurement & Reporting
• Define baselines, KPI frameworks, and post-deployment reporting
• Track adoption depth, usage health, and business impact outcomes
• Support expansion by identifying new workflows and growth paths
What Success Looks Like (6–12 months)
• Multiple use cases are in production and actively used
• Adoption expands in breadth and depth across teams and workflows
• Customer demonstrates measurable impact and repeatable deployment patterns
• Technical risks are anticipated early and mitigated proactively
Required Skills & Qualifications
• 8+ years in technical customer-facing roles (solutions engineering, customer architecture, technical delivery leadership, applied AI deployment)
• Hands-on understanding of GenAI systems: APIs/SDKs, retrieval, evals, agentic patterns, tradeoffs
• Familiarity with enterprise security (SSO, encryption, compliance frameworks)
• Comfortable with Python/JavaScript and working with REST APIs, cloud platforms
Nice-to-Have
Strongly Preferred
• Direct experience with OpenAI products and enterprise adoption programs
• Experience operating multi-workstream programs in complex enterprise environments
• Strong product instincts: turning field signals into structured feedback
Pay and Benefits
Pay Range Minimum: $ 230000 per Year
Pay Range Maximum: $ 280000 Per Year
HCLTec is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to for investigation.
A candidate’s pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year
How You’ll Grow
At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.
Job Title: Sr Software Engineer/ Technical SW Project Manager – Medical Device
Job Location: Minneapolis, Minnesota (Fully onsite)
Type: W2 contract
Duration: 06 Months
Job Description:
The Pelvic Health R&D team is one of the most cutting edge groups, Defining and executing on technology and architectural strategy using skills that span a variety of domains including Mobile Apps (Android), cloud, data analytics, web services, 2d/3d visualization, machine learning, and interfacing with embedded software for management and control of interconnected medical devices.
As a Senior Software Engineer (Project Engineer – Mobile), you will lead execution for a defined mobile software release pipeline, working with motivated, diverse, and knowledgeable development teams. You will collaborate with Product Engineering, Development, and Test Leads to translate requirements into actionable plans, create structured backlogs, and drive high-quality delivery. This role requires a mix of technical expertise, project execution, and leadership to deliver reliable, impactful mobile software that improves the quality of life of people around the world.
Technical skills Must have:
2 years of experience writing Software , Java , Python , C
Agile Metrics
Agile Product Owner
agile sprint
Android
Mobile Software Development
Project Planning
Software Project Management
Technical Leadership
technical software project management
Nice To Have:
DevOps tools like GitHub
GitLab
Kotlin
Kotlin Multiplatform (KMM)
PTC Codebeamer
Must Have: Minimum Requirements
Bachelor’s degree in Software Engineering, Computer Science or equivalent with 8 to 10 years of managing delivery of advanced applications for mobile platform.
Hands-on experience in mobile software development
Android development experience (Kotlin or Java); familiarity with Kotlin Multiplatform (KMM) is a plus
Understanding of mobile testing strategies and quality practices
Experience working in Agile/Sprint-based development environments
Ability to work at both technical detail and release-level view
Experience creating and managing backlogs, tracking execution, and driving delivery
Strong communication skills and ability to collaborate effectively across teams
Strong attention to detail and an ability to deal with ambiguity
Nice to Have:
Good understanding of Continuous Integration environments (Jenkins, Bamboo, ElectricCloud)
Experience with iOS platforms.
Experience with configuration management tools and best practices (GIT, SVN, etc.).
Ability to think strategically and execute methodically.
Excellent written and oral communication skills.
Ability to multitask and prioritize while managing multiple projects and day to day responsibilities
Ability to influence cross-functional teams without formal authority.
A Day in the Life:
Own end-to-end delivery of an assigned mobile software release
Translate product features and requirements into structured, execution-ready backlogs and user stories
Lead backlog refinement, sprint planning, and overall release planning
Approve and accept completed work in the ALM system using technical and quality judgment
Apply technical judgment to evaluate approaches, challenge assumptions, and ensure architectural alignment and quality
Partner with Product Engineering, Development, and Test Leads to ensure scope clarity, accurate task breakdown, and alignment with product intent
Support prioritization discussions and maintain alignment with product strategy and system dependencies
Identify risks and dependencies and drive mitigation plans
Track delivery metrics and drive execution discipline across development and test teams
Collaborate with stakeholders and communicate status, risks, and dependencies to leadership
Ensure compliance with quality systems and software lifecycle processes
Support regulatory deliverables in collaboration with engineering and test leads
Promote engineering best practices and continuous improvement
We put the unity in "opportunity."
Opportunity Snapshot:
- Compensation: $72.00/hour
- Location: Denver, CO
- Work Schedule: M-F / 40 hours+
- Duration: 12 months +
- Benefits: Comprehensive benefits with 401(k), PTO and Holidays
Qualifications:
- Bachelor's Degree in Engineering, Computer Science, Data Science, Finance, or related field
- 3+ years of professional experience as a Data Analyst, Business Intelligence Analyst, or similar role
- 2+ years writing complex SQL queries in production environments, including creating new queries from scratch and optimizing existing ones
- 2+ years hands-on experience building and managing Power BI and/or Spotfire dashboards. Experience supporting operations, engineering, or field teams in a data-intensive environment
- Drilling & Completions knowledge and/or upstream oil & gas experience strongly preferred
- Experience with OpenWells or similar well data management systems (Landmark, PPDM-based applications)
- Knowledge of oil & gas operational metrics including well-level data (API numbers, pads, formations, lateral lengths), drilling metrics (spud dates, drill days, directional surveys), and completion metrics (stages, proppant, pump schedules, frac timelines)
- Programming skills in Python or R for advanced analytics and automation
- Experience with Microsoft Power Platform (Power Automate, Power Apps) for workflow automation
- Experience with cloud data platforms (Azure, AWS).
Responsibilities:
- Directly support Drilling & Completions teams driving upstream operations in the Rockies region
- Work with cutting-edge data systems supporting major oil & gas operations
- Contribute to high-impact business decisions affecting well delivery and capital efficiency
- Drive automation and innovation that improves operational efficiency
- Gain exposure to enterprise-scale data environments and cross-functional collaboration
- Extract, analyze, and interpret complex datasets to derive insights that drive strategic business decisions. Develop and maintain SQL queries against enterprise data systems to support D&C reporting and analysis
- Perform detailed analysis of drilling and completions performance, timelines, costs, and operational KPIs. Translate technical findings into actionable business insights and recommendations
- Build, enhance, and manage Power BI and/or Spotfire dashboards for D&C and Operations teams. Create insightful visualizations that communicate complex data clearly to technical and non-technical stakeholders
- Maintain dashboard integrity by troubleshooting issues, reconnecting data sources, and optimizing refresh performance. Ensure reporting solutions align with enterprise BI standards
- Utilize automation tools to streamline data analysis and business processes. Identify manual, repetitive processes and implement automated solutions
- Develop reusable SQL templates, stored procedures, and data pipelines for recurring analysis. Continuously identify optimization opportunities in data workflows and reporting
- Work closely with D&C engineers, operations leads, and business stakeholders to understand data requirements and provide analytical support. Collaborate effectively with data engineers, data scientists, and IT teams. Respond swiftly to ad-hoc data requests while maintaining quality standards. Document data lineage, business logic, and reporting methodologies
- Develop data validation queries and perform continuous QC across source systems. Monitor data freshness and proactively flag anomalies. Support master data management for wells, pads, assets, and operational hierarchies
The Bergaila Way:
The Bergaila Companies is a nationally recognized leader in providing staffing services to all sectors of the energy industry. We continually focus on partnering with talented professionals, engineering the perfect fit between our clients and employees. Choosing a career path with Bergaila grants you immediate access to nationally recognized organizations we partner with. Bergaila consistently attracts and retains its Employees with our dedicated internal service team, top tier benefits programs for contractors and their families, and commitment to place you in the desired career of your choice.
Client Overview:
Our Client is a global international energy exploration and production company and one of the largest oil producers in the United States. Founded in 1920, our client’s technical expertise and proven ability to deliver lasting results are the hallmark of their international success. While manufacturing the building blocks for life-enhancing products, our client utilizes leading edge technologies that grow their business and simultaneously help to advance a lower-carbon world.
The Business Analyst is a highly analytical and detail-oriented professional with technical skills in coding, databases and report writing. In this role, the Business Analyst translates requirements into actionable solutions, building reports and dashboards while serving as the bridge between business stakeholders and technical teams. This role requires strong problem-solving skills, excellent communication, and the ability to think critically while ensuring business needs are met with efficient solutions.
The Business Analyst reports to the Director of Information Technology.
Skills And Qualifications
Required:
- Associate’s degree in information systems, Business Administration, Computer Science or related field.
- Three years of professional experience as a Business Analyst.
- Strong database knowledge with experience writing SQL queries and working with relational databases.
- Proficiency in Microsoft Power Platform (PowerApps, Power Automate, Power BI).
- Exceptional analytical and problem-solving skills with keen attention to detail.
- Excellent written and verbal communication skills with the ability to effectively engage
with stakeholders at all levels, translating technical concepts into business-friendly terms.
- Ability to work in a collaborative team environment that spans multiple departments.
- Valid driver’s license and driving history that meets SOE driving standards – Successful completion of the Orange County Defensive Driving Course.
Preferred:
- Bachelor’s degree in information systems, Business Administration, Computer Science or
related field.
- Over four years of experience as a Business Analyst or similar role.
- Exposure to Data Visualization Tools and Business Intelligence tools beyond Power BI.
- Basic to intermediate coding experience (C#, .NET, Python, or JavaScript).
- Knowledge of API integration and automation frameworks.
- Prior work experience in a position with rapidly changing priorities and deadlines.
- Past position working with projects from conception to deployment with a high degree of
accuracy and attention to detail.
- Knowledge of the Voter Focus application suite.
- Exposure to agile methodologies (Scrum, Kanban).
Position Functions and Duties
- Partner with stakeholders to gather, document, and analyze business requirements.
- Translate business needs into functional specifications, workflows, and technical requirements.
- Develop and maintain reports, dashboards and data models using appropriate and relevant tools.
- Write SQL queries and work with databases to extract, analyze and validate data.
- Conduct data analysis to identify trends, issues, and opportunities for process improvement.
- Support end-users by providing training, documentation, and ongoing technical assistance.
- Remain current on emerging technology that may benefit the SOE systems and
users; participate in new development, enhancement, and maintenance of systems.
- Assist the Director of Information Technology with any special projects as directed.
- Ability to support and perform team members’ duties as needed.
- Perform all other duties as assigned.