Staff Data Engineer

Code for America

. Lead cross-functional technical planning with Data Scientists, Software Engineers, and Product Managers to translate data architecture requirements into scalable technical solutions .

Posted 9/18/2026full-timeRemote • United StatesLead💰 $128,945 - $157,850 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data engineering, including data pipeline creation, optimization, and compliance within cloud environments. Proficient in SQL, Python, and data orchestration tools, with a strong focus on collaboration and mentoring within cross-functional teams.

Highest-signal resume keywords

Data Pipeline OptimizationExpert-Level SQLData Orchestration Tools (e.g. Dagster)Cloud-Based Data Warehousing (e.g. BigQuery, Snowflake)Data Transformation with dbt

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringSQLPythonRData Pipeline CreationData TransformationData IntegrationData ValidationData GovernanceInfrastructure as Code

Soft Skills

CollaborationCommunicationMentoringProblem-SolvingStakeholder Management

Tools & Technologies

PostgresBigQuerySnowflakeMetabaseTableauPowerBILookerHexAI Coding ToolsDagster

Industry Keywords

Data ArchitectureData ConsistencyData PerformancePrivacySecurityData LifecycleGovernment ServicesSocial Safety NetAI-Powered FeaturesTechnical Documentation

Tech Stack

Tools & technologies

BigQueryCloudPostgresPythonSQLTableau

About the role

Key responsibilities & impact

Lead cross-functional technical planning with Data Scientists, Software Engineers, and Product Managers to translate data architecture requirements into scalable technical solutions
Create new data pipelines, data transfers, and compliance-oriented infrastructure within cloud environments
Contribute to dataset management and optimization for data consistency and performance
Implement data transformation, integration, and validation processes for analytics and reporting
Partner with DevOps on deployment standards, monitoring frameworks, and operational best practices
Lead technical investigations into data issues, resolve them, and recommend process changes
Optimize data pipelines for speed, reliability, and efficiency
Lead data architecture recommendations and implement them
Champion privacy, security, and data governance throughout the data lifecycle
Produce technical documentation and learning materials
Develop and reinforce data engineering best practices and standards
Collaborate with Product Managers and cross-functional peers as priorities, technology, and team needs shift
Mentor engineers and data scientists on pipeline design, data engineering practices, and architectural thinking
Engage in ad hoc projects and initiatives as organizational needs evolve
Report to a Data Science Manager; travel no more than 10% of the time

Requirements

What you’ll need

7+ years of experience in data engineering or related technical fields
Expert-level SQL and experience with python, R
Experience with Postgres and cloud-based data warehousing (e.g. BigQuery, Snowflake)
Expert at data orchestration tools (e.g. Dagster) for building and managing data pipelines
Expert at using dbt for data transformation and modeling within data warehouses
Demonstrated experience with Metabase or similar business intelligence tools (e.g. Tableau, PowerBI, Looker)
Experience in ensuring that data pipelines are accessible to Data Scientists through notebook tools (e.g. Hex)
Experience with cloud infrastructure and infrastructure as code
Excellent collaboration skills, with a demonstrated ability to manage cross-functional relationships, respond to stakeholder needs, and facilitate effective decision-making conversations
Excellent written and verbal communication skills in English
Demonstrated ability to use AI coding tools judiciously, validating and refining generated code for quality, and modeling that discipline for teammates
A deep commitment to Code for America's mission of making government services work well for the people who need them most
Bonus: Experience with making government services better for people who need them most
Bonus: Personal or professional experience with the social safety net or other mission-relevant government services
Bonus: Experience building and integrating AI-powered features in production systems, with evaluation and monitoring

Benefits

Comp & perks

Leadership and teammates who share a strong work ethic and values, and who respect and care for one another
A collaborative, cross-functional, hardworking, and joyful environment
Laptop provided
A one-time $700 payment for remote environment setup; $200 stipend (in first paycheck) and up to $500 reimbursement, in accordance with our equipment policy
Cell phone and/or internet reimbursement of $50 per month
$500 annual (per calendar year) stipend towards professional development; prorated at time of hire
Up to $500 of professional development funds can be rolled over each year, up to a maximum of $1000
Training / guidance for staff required to utilize AI as part of their role, plus opportunities for employees to gain AI-related skills to support job and career growth
Employees receive a 100% employer match on the first 3% of contributions
Employees with 3+ years of service receive an additional 50% match on contributions between 3% and 5%, for a maximum employer contribution of 5%
At least one no cost health insurance option for full-time employees for employee-only coverage
A minimum of 80% of the cost of dependent coverage
Code for America employees may work remotely across the US
Full-time employees work 40 hours per week, Monday - Friday
Open personal time off (subject to manager approval), a minimum of 14 paid holidays, and an org-wide closure from Christmas Day through New Year's Day
Paid sick time; up to 96 hours annually
17 weeks of paid parental and family leave
3 weeks of paid sabbatical after 5 years of service