OPENDataJobs

Full-stack Engineer

• Deliver coherent end-to-end features across browser, service, and data layers
• Build React interfaces, back-end services, APIs, and relational data features
• Implement typed client and service contracts, validation, authentication, and authorization
• Create schema migrations, queries, service logic, component state, and accessible interactions
• Develop automated tests across unit, component, integration, contract, and browser layers
• Maintain delivery automation, diagnostic logging, metrics, traces, and runbooks
• Diagnose issues across the browser, network contracts, service logic, queries, and deployment configuration
• Coordinate with front-end, back-end, data, security, quality, and operations partners
• Connect approved AI model services to accessible interfaces, application data, feedback capture, and production observability when required

Full-Stack Developer

Database Administrator

• The description is a placeholder instructing the publisher to replace it with the role entry sheet's Description block
• The required sections are: The work; What you'll build; Who you are; What you bring; About OPEN Data Jobs; and Register for [Role name]
• The description must not mention Peregrine Advisors or any client name
• Section headings must be bold and bullets must survive pasting

Data Specialist

• The description field is an editorial placeholder instructing the publisher to replace it with the Role entry sheet's Description block.
• The intended description must contain, in order: The work; What you'll build; Who you are; What you bring; About OPEN Data Jobs; and Register for [Role name].
• The pasted description must not mention Peregrine Advisors or any client name.
• Formatting and bullet preservation must be checked before saving.
• Issues on the entry sheet should be flagged to Nick rather than fixed in place.

Data Visualization Specialist

Data Scientist

• Define measurement needs and assess whether available data supports stakeholder questions
• Select statistical and machine learning methods appropriate to the question and evidence
• Conduct exploratory data analysis covering distributions, relationships, outliers, missingness, and data limitations
• Develop forecasting, classification, risk, anomaly-detection, segmentation, causal, simulation, or optimization models
• Design experiments or quasi-experiments, sampling plans, measurement strategies, and evaluation frameworks
• Validate assumptions, compare alternatives and models, investigate errors, and quantify uncertainty
• Examine data quality and bias and interpret results in context
• Build reproducible analytical pipelines, notebooks, code, data documentation, model cards, and validation reports
• Communicate findings, uncertainty, assumptions, limitations, and appropriate uses to technical and nontechnical audiences
• Collaborate with subject-matter experts, analysts, engineers, stakeholders, and decision-makers
• Help define ongoing model performance assessment when models are used repeatedly

Program Manager

• Align teams, funding, dependencies, schedules, risks, and decisions across data platforms, analytics, governance, software, and artificial intelligence initiatives
• Establish the program operating rhythm and maintain an integrated view of scope and commitments
• Surface problems while options remain open and provide executives and delivery teams with trustworthy status
• Build integrated program plans connecting workstreams, milestones, dependencies, resources, and decision points
• Establish governance and delivery rhythms that keep owners, risks, issues, and commitments visible
• Define benefits and outcome measures showing whether the program produces mission value
• Drive risk, issue, and dependency mitigation and precise escalation
• Provide executive reporting, working-level coordination, and durable documentation
• Test technical assumptions, challenge estimates, and recognize technical issues threatening program outcomes

Data Program Manager

Strategist

• Assess current-state capabilities to identify gaps, duplicative investment, unmanaged risk, and unrealized data value
• Design target-state strategies and operating models connecting governance, platforms, analytics, artificial intelligence, workforce, and mission use
• Develop sequenced roadmaps with priorities, dependencies, investment choices, owners, and progress measures
• Prepare executive briefings and business cases that translate technical choices into strategic decisions
• Build cross-functional alignment among data, technology, privacy, security, legal, mission, and program leaders
• Revise strategies based on evidence from implementation and delivery realities

Data Strategist

Frontend Engineer

• Lead the rebuild of a federal agency's internal web application, replacing an aging content-management front end with a modern React application
• Own the architecture, from the components users touch to the interface tier that feeds them
• Build a modern front end in React and TypeScript that replaces a legacy content-management system
• Migrate content and design the data-transfer APIs
• Build in a regulated federal environment where accessibility (Section 508) and security are not optional

Senior React Developer

• Help rebuild a federal agency's internal web application
• Build React components and the services behind them
• Work within the lead's architecture and own real pieces of it

React Developer

DevOps Engineer

• Stand up the pipelines and secure infrastructure for deploying COTS financial stack
• Implement continuous integration and delivery pipelines
• Create security fabric: containerization, monitoring, logging, vulnerability scanning

DevSecOps Engineer

Business Analyst

• Bridge the agency finance staff and the build team as a federal agency replaces its legacy fee-management system.
• Translate how fee verification, invoicing, refunds, and exceptions work today into the requirements and business rules.
• Map the current manual processes, define the rules LogicNets will run, and validate the result.
• Clear requirements and documented business rules for fee verification, invoicing, refunds, and exception processing.
• Create the map from today to tomorrow for target system workflows and rules for LogicNets to encode.
• Contribute to new capabilities, tools, and lines of business.

Backend Engineer

• Own the data layer of a federal agency's enterprise data warehouse
• Shape how a large, high-volume platform is structured and tuned on Amazon Redshift
• Build a warehouse data layer that performs: physical design, query and plan tuning, and data models
• Manage schema migrations, S3-to-Redshift load patterns, stored procedures, and access controls
• Contribute to the firm’s new capabilities, tools, and lines of business

Senior Database Developer

• Build and maintain queries, stored procedures, and views for a federal agency's data warehouse
• Work with Amazon Redshift and relational databases under senior developer's design
• Grow toward owning physical design in the long term
• Write reliable SQL, stored procedures, and views that turn raw data into useful information
• Perform query tuning, S3-to-Redshift loads, and maintain governed access

Database Developer

Data Engineer

• Build the pipelines that move a federal agency's data from source to warehouse on Amazon Web Services (AWS)
• Ingest-process-store pipelines on AWS: Spark-based extract, transform, and load (ETL) with Glue, Amazon EMR, Lambda, and Step Functions, in Python and PySpark
• A data lake that feeds the warehouse: S3 design (Parquet, partitioning, lifecycle) into Redshift, with event orchestration, secrets and monitoring, and data quality, validation, and lineage built in
• New capabilities, tools, and lines of business you help spin up

• Help automate a federal agency's high-volume stream of filer applications
• Turn a manual process into an intelligent pipeline using OCR and AI
• Build document-intelligence services
• Develop validation and review mechanisms for accuracy and auditability

Software Developer

AI Engineer

• Help automate how a federal agency handles a high-volume stream of filer applications
• Turn a manual, document-heavy process into an intelligent pipeline using OCR and AI
• Build document-intelligence services that pull structure and meaning out of filings
• Create validation and review processes including exact and fuzzy matching
• Develop new capabilities, tools, and lines of business