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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Data Engineer - **Company:** Dave, Inc. - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $174,000.0 - $224,000.0 - **Contract:** Permanent contract - **Skills:** Training Data, Artificial Intelligence, Airflow, Amazon Web Services, Computing Platforms, BigQuery, Software as a Service, Cloud Storage, Code Review, Databases, Continuous Integration, Information Engineering, Data Governance, Data Warehousing, Dimensional Modeling, Distributed Computing Environment, Data Flow Control, Python (Programming Language), Machine Learning, Uptime, Metadata, Microsoft Office, Operational Databases, Software Tools, Cloud Services, Standard Sql, SQL Databases, Data Streaming, Systems Integration, Snowflake, Data Layers, Software Version Control, Data Pipelines, User Identification - **Published:** October 8, 2026 - **Apply:** https://www.builtincolorado.com/job/lead-data-engineer/11561161?handler=ApplyRedirect ## About the Role * 5+ years of software or data engineering experience, including significant ownership of production data systems. * Strong Python and SQL skills, along with solid software engineering fundamentals including testing, code review, version control, and CI/CD. * Experience with a modern cloud data warehouse such as Snowflake, BigQuery, or Redshift. * Experience with orchestration and transformation frameworks such as Airflow/Cloud Composer and dbt, or comparable technologies. * Strong understanding of data modeling, incremental processing, data quality, observability, and production recovery. * Demonstrated architecture judgment and experience providing technical leadership and mentorship across teams. * Ability to navigate ambiguity, clarify ownership, and communicate technical and business trade-offs clearly. Bonus points for: * Fintech or other high-stakes or regulated data experience. * CDC, streaming, event-driven, or high-volume integration experience. * Experience with GCP technologies such as Dataflow, Pub/Sub, and Cloud Storage. * Experience with metadata, lineage, semantic layers, governance, privacy, or AI-ready data platforms. ## Description This role has meaningful ownership across Dave's data platform. You'll work across business domains and platform capabilities, solving complex data challenges while helping establish the technical patterns that make our systems easier to build, operate, and scale. You'll partner closely with engineering and business teams to turn evolving needs into durable solutions. Not everything will be fully defined-you'll help clarify the path, make thoughtful architecture trade-offs, and ensure we're building systems that hold up over time. What You'll Build & Own * Lead the design, implementation, operation, and evolution of production data pipelines and core platform capabilities. * Build and improve integrations across APIs, files, CDC and event sources, cloud services, and internal systems. * Establish strong patterns for data modeling, orchestration, testing, data quality, observability, retries, backfills, and recovery. * Improve Snowflake, dbt, and Airflow/Cloud Composer workloads with a focus on reliability, scalability, performance, and cost. * Lead technical design reviews, clarify system boundaries, and help teams make thoughtful architecture and delivery trade-offs. * Strengthen the broader engineering organization through mentorship, documentation, standards, and durable solutions that reduce operational burden and single-person dependencies., You take responsibility for outcomes, not just deliverables. You're comfortable going deep enough to diagnose a production issue while also stepping back to understand how a technical decision affects reliability, cost, partner teams, and the broader business. You care about building systems that hold up over time and know when to optimize for speed versus durability. You also make the people around you more effective. You share context, invite feedback, mentor other engineers, and create standards and documentation that reduce dependency on any one person. When priorities or information change, you adjust thoughtfully without losing sight of the outcome. What to Expect You'll have meaningful autonomy and the opportunity to shape both systems and engineering practices. We make decisions using data, technical judgment, and input from the teams affected by them. Priorities will evolve as Dave grows, and you'll have a voice in determining how our data platform evolves with them. We also use AI-assisted engineering tools where they make us more effective, while maintaining strong expectations around security, validation, quality, and human accountability. Why Join Dave * Build for a meaningful mission. Help create the data foundation behind products designed to give everyday Americans better access to their money. * Own consequential technical problems. Work on production systems where reliability, quality, and thoughtful architecture matter. * Shape how we build. Influence technical standards and platform direction, not just individual projects. * Grow the team around you. Share expertise, mentor engineers, and create systems that make everyone more effective., Lead Data Engineer responsible for designing, maintaining, and improving data pipelines and platform infrastructure across ingestion, streaming, transformation, and delivery. The role uses Airflow, Spark, Iceberg, Kafka, Flink, dbt, Terraform, and GCP. Responsibilities also include defining data contracts, documenting systems, optimizing performance, reviewing code, supporting access controls and compliance, and collaborating with stakeholders and teammates. Top Skills: Apache AirflowApache FlinkApache IcebergApache KafkaSparkBashDbt LabsDocument DatabasesElastic StackGoogle Cloud Platform (Gcp)Olap DatabasesOltp DatabasesPythonSQLTerraformVector Databases Adelaide Lead Data Engineer 3 Days Ago Remote United States 89K-89K Annually Entry level 89K-89K Annually Entry level AdTech Leads a data engineering team and supervises one Data Engineer while designing, maintaining, and optimizing reliable data pipelines and infrastructure. The role integrates internal and external data sources, supports SaaS analytics dashboards and connected platforms, improves data-store performance, and ensures infrastructure quality, security, and uptime. Requires proficiency in Python, databases, distributed processing, orchestration, AWS, and machine learning. Top Skills: Amazon EmrAmazon KinesisAmazon S3Apache AirflowSparkAws EcsDockerLookerPandasPostgresPythonRedshiftScalaSnowflakeSQL Fullbay Lead Data Engineer 6 Days Ago In-Office or Remote Senior level Senior level Automotive * Software * Transportation Own Fullbay's Snowflake data platform end to end, including dimensional modeling, certified metric definitions, semantic layers, identity resolution, transformations, governance, security, cost management, source ingestion, and AI-agent enablement. Build tested SQL and transformation code, establish company-wide data standards, document systems thoroughly, and direct an architecture consultant. Provide guidance for self-service data use while serving as the final authority on definitions, access, and platform design. Top Skills: Change Data CaptureContinuous IntegrationSalesforceSnowflakeSQL What you need to know about the Colorado Tech Scene With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation. Key Facts About Colorado Tech * Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey) * Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3 * Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech * Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook) * Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures * Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute