Senior Data Engineer - Remote Data Infrastructure

Code for America; United States; Remote; USD 129,000 - 158,000; Full time

Benefits offered by this job

Laptop provided

Remote setup stipend

Internet reimbursement

Professional development funds

Job summary

Code for America is seeking a Staff Data Engineer to lead data infrastructure and analytics initiatives in a fully US-remote role. You will own end-to-end data pipelines, collaborate with data scientists, engineers, and product managers, and set high standards for data quality, security, and governance.

You’ll work with Postgres, BigQuery or Snowflake, Dagster, dbt, and BI tools to enable scalable insights while mentoring teammates and promoting best practices across the team.

Qualifications

• 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 is needed for this specific role; organizationally, a curiosity about emerging AI tools and a commitment to using them responsibly and effectively
• A deep commitment to Code for America's mission of making government services work well for the people who need them most.

Responsibilities

• Data Infrastructure & Pipeline Engineering: Lead cross-functional technical planning to translate data architecture requirements into scalable technical solutions.
• Create new data pipelines, data transfers, and compliance-oriented infrastructure to facilitate seamless data utilization within cloud environments.
• Contribute to best practices for dataset management and optimization, ensuring data consistency and performance.
• Implement data transformation, integration, and validation processes to support analytics and reporting needs.
• Partner with our DevOps team to apply deployment standards, monitoring frameworks, and operational best practices for data infrastructure.
• Lead technical investigations into data issues within the systems you own, resolving them with thorough communication and recommending process changes where necessary.
• Optimize and fine-tune data pipelines for improved speed, reliability, and efficiency.
• Lead generation and optimization of data architecture recommendations and demonstrate the ability to implement them.
• Champion privacy, security, and data governance practices throughout the entire data lifecycle.
• Support Engineering's culture of writing by producing quality documentation and learning materials.

Skills

SQL

Python

R

Data engineering

Tools

Postgres

BigQuery

Snowflake

Dagster

dbt

Metabase

Tableau

PowerBI

Hex

Terraform

Job description

Code for America is seeking a Staff Data Engineer to lead data infrastructure and analytics initiatives in a fully US-remote role. You will own end-to-end data pipelines, collaborate with data scientists, engineers, and product managers, and set high standards for data quality, security, and governance.

You’ll work with Postgres, BigQuery or Snowflake, Dagster, dbt, and BI tools to enable scalable insights while mentoring teammates and promoting best practices across the team.