OPENDataJobs

QA Engineer

• Consult with product owners, customers, key stakeholders, and end users to elicit and specify requirements
• Develop requirements into user stories and acceptance criteria
• Facilitate product backlog refinement and prioritization
• Plan and run quality assurance validation
• Write test cases from acceptance criteria
• Execute functional, regression, and user acceptance tests
• Confirm releases meet requirements before shipping
• Log, track, and retest defects with developers until resolved
• Assist product owners in defining product scope, vision, and roadmap
• Conduct business process analysis, workflow analysis, and business process reengineering
• Provide system analysis and subject-matter expertise on issues and bugs
• Produce gap analyses, Analysis of Alternatives studies, business process models, wireframes, and storyboards
• Work with product owners, program managers, developers, testers, and end users on application designs
• Lead and support product demonstrations
• Help develop new capabilities, tools, and lines of business

Senior Business Analyst / QA

Data Scientist

• Frame analytical questions with mission owners and turn them into testable designs
• Build analyses and models in Python and SQL on AWS cloud-native data platforms
• Develop forecasting, classification, risk-scoring, and anomaly-detection models
• Design model evaluations with baselines, validation designs, error analysis, documented limits, and verifiable documentation
• Build analytical features and datasets from large, messy, document-heavy corpora
• Extract text with Amazon Textract and analyze it with foundation models through Amazon Bedrock
• Harden one-off notebooks into repeatable, reviewed analytical pipelines
• Present findings to decision-makers in plain language with effective visualizations
• Use AI-assisted analysis, language models, and coding assistants across the lifecycle
• Collaborate with developers, engineers, data scientists, architects, and strategists across client assignments
• Carry federal-agency analytical questions from data to defensible, documented answers

Data Scientist, Python, AWS

Project Manager

• Work directly with a federal agency's Chief Data Officer and financial markets subject-matter experts
• Keep the program on schedule
• Build and maintain the program schedule, action items, and deliverable tracker
• Follow open items through to completion
• Prepare meetings, agendas, briefing materials, notes, and follow-up actions
• Write status reports
• Build presentation decks for senior readers
• Track risks, issues, and dependencies
• Escalate risks and issues early with a proposed way forward
• Learn how financial markets data is produced and used
• Collaborate with developers, engineers, data scientists, architects, and strategists across strategy and implementation assignments

Junior Project Coordinator

• Build and maintain program schedules
• Track action items and deliverables
• Prepare meetings and briefings
• Support program and project managers
• Work alongside executives and subject-matter experts
• Turn discussions into agendas, notes, status reports, and presentation decks
• Keep risks, issues, and dependencies visible
• Build program schedules, action-item logs, and deliverable trackers
• Prepare agendas, read-ahead materials, notes, and follow-up
• Create status reports and presentation decks for senior readers
• Maintain risk, issue, and dependency logs with proposed ways forward
• Organize project records in SharePoint or program tools

Project Coordinator

Analytics Engineer

• Build critical components for three production data products for a federal agency
• Integrate partner work and conduct technical review before acceptance
• Own data quality and deliver documented deduplication, reconciliation, and data quality controls
• Build reliable ingestion and transformation pipelines across legacy, current-system-of-record, and multi-format contractor data
• Create traceable source-to-target mappings
• Develop Data Vault 2.0 and Gold tier models supporting required analytics and independent agency analyst querying
• Build integrated semantic models and support Microsoft Power BI
• Optimize performance and deliver production-ready code
• Create data dictionaries, pipeline specifications, runbooks, and knowledge-transfer materials
• Help ensure products remain understandable and supportable after cutover
• Collaborate with developers, engineers, data scientists, architects, strategists, and machine learning engineers
• Help develop the firm's capabilities, tools, and lines of business

Senior Data Engineer – Analytics Lead

Platform Engineer

• Own the environments, deployment path, and platform operations beneath production data products for a federal agency
• Stand up and maintain Azure Databricks environments, including access, secrets, and networking
• Build deployment automation to promote work between environments using Declarative Automation Bundles, infrastructure as code, and CI/CD pipelines
• Tune Delta pipelines and platform performance
• Run platform operations and write operational runbooks
• Support environment parity, migration, and cutover alongside the Databricks team under Peregrine change control
• Manage bindings, rollback, and evidence required for release reviews
• Automate promotion, checks, and release evidence
• Collaborate with developers, engineers, data scientists, architects, and strategists across assignments and clients
• Help develop the firm's capabilities, tools, and lines of business

Databricks Platform Engineer – DevSecOps

Technical Program Manager

• Own the integrated delivery of three production data products across Peregrine and its delivery partners for a federal agency
• Create and maintain an integrated plan, backlog, calendar, risk register, decision log, and definition of done
• Deliver monthly milestones and formal deliverables with acceptance evidence prepared before submission
• Establish an agile cadence connecting daily work, biweekly demonstrations, weekly management, and monthly government reporting
• Resolve access, data, architecture, partner, staffing, and acceptance dependencies quickly
• Produce concise status reports, risks, decisions, and escalations
• Manage performance visibly across all personnel, including partner resources and replacements
• Work with developers, engineers, data scientists, architects, and strategists across strategy and implementation

Technical Program Manager, Data Product Delivery Lead

• Own delivery pipelines, automation, and environments that carry federal systems into production
• Integrate and deploy enterprise tools and platforms such as SageMaker, Posit Connect, and EC2-based Linux virtual machines
• Build and maintain CI/CD pipelines for infrastructure validation, testing, deployment, and release promotion
• Configure cloud networking, access permissions, storage, and compute resources according to security requirements
• Build and maintain Linux machine images through software installation, configuration, patching, and validation
• Support analytics and development environments, including user onboarding, access configuration, and software dependencies
• Troubleshoot deployment failures, connectivity problems, permissions, Linux services, and application runtime issues using logs and diagnostic tools
• Write and maintain scripts to simplify recurring operational tasks and improve consistency
• Participate in code reviews, test infrastructure changes, and document implementation details, troubleshooting procedures, and operational runbooks
• Own assigned changes from implementation through deployment verification
• Collaborate with senior engineers on architectural decisions and complex incidents
• Deliver CloudFormation templates, AMIs, and pipelines that enforce required controls and produce release-review evidence
• Automate manual release steps and build progressive delivery with automated health checks and rollback
• Work with developers, engineers, data scientists, architects, and strategists across assignments and clients

DevSecOps – Platform Engineer

Backend Engineer

• Build and maintain SQL queries, stored procedures, and views in Amazon Aurora (PostgreSQL-compatible)
• Work with data from Amazon DynamoDB and Amazon S3
• Contribute to logical data models and database-design decisions within the established platform architecture
• Build reliable data loads from S3
• Tune queries with guidance from a senior developer
• Work within governed access
• Grow toward responsibility for physical database design
• Discuss difficult problems, decisions, outcomes, and lessons learned

Junior Database Developer

• Own queries, stored procedures, views, and logical data models for an assigned part of a federal agency's enterprise data platform
• Build SQL queries, stored procedures, and views in Amazon Aurora (PostgreSQL-compatible)
• Work across Amazon DynamoDB and Amazon S3
• Design logical data models and database schemas
• Tune queries and build S3 data loads and connectivity under governed access
• Ensure assigned database components are accurate and performant
• Automate data loads and checks previously run manually
• Build models that continue working as the platform grows
• Own assigned database work from design through maintenance

Database Developer

DevOps Engineer

• Own assigned delivery pipelines and the environments beneath them
• Build CI/CD pipelines with security gates and controlled promotion
• Define infrastructure as code with reproducible environments and least-privilege access
• Automate security testing, vulnerability scanning, and secrets management across the delivery path
• Build monitoring and evidence supporting RMF authorization and continuous monitoring
• Enforce required controls and produce evidence for release reviews
• Automate manual steps out of the release path
• Build progressive delivery with automated health checks and rollback
• Work alongside developers, engineers, data scientists, architects, and strategists across strategy and implementation engagements
• Contribute to the firm's capabilities, tools, and lines of business as assignments evolve

DevSecOps Engineer

Software Engineer

• Develop Python applications on Amazon Web Services (AWS)
• Take responsibility for components delivered through production
• Integrate commercial off-the-shelf products with in-house frameworks
• Build internal and external API connections
• Build data and document pipelines that automate manual, paper-based work
• Design, develop, and implement Python-based enterprise solutions meeting client requirements
• Support quality development practices, including test-driven development and automated testing
• Deliver tested, working code through production, including finding and fixing defects
• Automate business operations that replace manual checks, validations, and spreadsheet workflows
• Build deployment pipelines that make releasing services routine
• Work alongside developers, engineers, data scientists, architects, and strategists
• Adapt development workflows as AI tools evolve while reviewing and testing generated output

Developer

• Own the technical design and delivery of a defined application or solution area
• Design how application or solution components fit together and guide implementation
• Build cloud-native systems whose automated operation replaces manual processes
• Build and maintain delivery pipelines and automated tests
• Set development patterns assisted by artificial intelligence tools such as Amazon Q Developer
• Lead design, development, and implementation of Python-based enterprise solutions meeting client requirements
• Lead quality practices including test-driven development, code reviews, and application security standards
• Develop project estimates and support project planning, delivery forecasting, and resource allocation
• Deliver integrated solutions with consistent quality across components
• Automate validations and workflows previously managed in spreadsheets
• Develop surrounding developers through code review, explanations, and work standards
• Collaborate with developers, engineers, data scientists, architects, and strategists across client assignments

Senior Developer

• Build and maintain pipelines for routine builds, tests, and deployments
• Add automated security testing, including SAST, DAST, and software composition analysis, to delivery pipelines
• Set up monitoring and logging
• Map controls to NIST SP 800-53
• Investigate and fix security and reliability findings
• Explain code changes and rationale through code review
• Automate manual team processes
• Help develop the firm's capabilities, tools, and lines of business
• Work alongside engineers, developers, data scientists, architects, and strategists across assignments and clients
• Support secure delivery pipelines that move federal systems into production

Junior DevSecOps Engineer

Business Analyst

• Consult with product owners, customers, key stakeholders, and end users to elicit and specify requirements
• Develop requirements into user stories and acceptance criteria
• Facilitate product backlog refinement and prioritization
• Assist product owners in defining product scope, vision, and roadmap
• Conduct business process analysis, workflow analysis, and business process reengineering
• Provide system analysis and subject-matter expertise on issues and bugs
• Produce user stories and acceptance criteria that carry business intent through to working software
• Perform gap analyses and Analysis of Alternatives (AoA) studies
• Create business process models, wireframes, and storyboards
• Work with product owners, program managers, developers, testers, and end users on application designs
• Lead and support product demonstrations
• Help build new capabilities, tools, and lines of business