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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Data Engineer - **Company:** Akiba Trading Corp. - **Location:** New York, NY, United States (Remote available) - **Experience:** Expert - **Salary:** $89,000.0 - **Contract:** Permanent contract - **Skills:** Airflow, Amazon Web Services, Amazon S3, Data Analysis, Software as a Service, Cloud Computing, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Structures, Data Stores, Data Systems, Data Warehousing, Python (Programming Language), PostgreSQL, Machine Learning, Scala (Programming Language), SQL Databases, Systems Integration, Enterprise Data Management, Azure Data Factory, Snowflake, Apache Spark, Electronic Medical Records, Pandas, Information Technology, Looker Analytics, Data Pipelines, Docker, Amazon Redshift - **Published:** October 6, 2026 - **Apply:** https://www.builtincolorado.com/job/lead-data-engineer/11513040?handler=ApplyRedirect ## About the Role * Bachelor's degree in Computer Science * Proficiency in Python, Redshift, Postgres, SQL, Spark, Scala, and Airflow * Experience with the Pandas library and Docker * Familiarity with AWS technologies such as ECS, S3, Kinesis, Redshift, and EMR * Strong understanding of data structures and algorithms * Experience with machine learning * Passion for delivering high-quality, reliable data solutions What will set you apart - OPTIONAL * Experience in ad tech, measurement, or verification * Experience with high-throughput or near-real-time data pipelines * Experience with Snowflake or Looker ## Description 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., This position reports to the Director of Engineering, DevOps & Data Engineering and is responsible for the design, reliability, and performance of Adelaide's data pipelines and data infrastructure. The role supervises one Data Engineer. In this role, you'll work with a team of data engineers and data scientists to structure and maintain the network of data that flows from internal and external sources into our SaaS analytics dashboard and connected platforms. This role is based in New York, NY, with flexible work options. Base salary: $88,525/yr What you'll learn An important part of our culture is continuous learning and the open sharing of ideas. We offer: * Access to a broad network of investors and advisors who can help you and your team succeed * Mentorship from executives with decades of experience in adtech and media * Regular internal knowledge-sharing sessions * An education budget to support ongoing professional growth and development Core responsibilities * Structure a sophisticated network and pipeline of data across internal and external sources * Maintain a high degree of uptime for our SaaS analytics dashboard and connected platforms * Work with other team members to design, build, deploy, and maintain reliable data pipelines * Maintain and optimize existing data pipelines and integrations * Optimize our data stores for fast, efficient querying to support technology and reporting needs * Ensure the quality, reliability, and security of our data infrastructure, 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 Nexcess Lead Data Engineer 8 Days Ago Remote United States Senior level Senior level Software Leads and mentors the Data Engineering team while remaining hands-on in designing, building, and maintaining scalable data pipelines, warehouses, integrations, and infrastructure. Establishes architecture, reliability, quality, and performance standards; guides technical delivery; and resolves complex issues. Partners with Finance and business stakeholders to translate data needs into practical solutions, sets technical direction, evaluates technologies, and communicates strategy, risks, and recommendations to leadership. Top Skills: AirflowAWSAzureCi/CdCloud Data PlatformsData PipelinesData WarehousesDbtEltETLGoogle Cloud PlatformInfrastructure As CodeJavaKafkaPythonScalaSparkSQL Magna Legal Services