Data Engineer

Senior Data Engineer • 6‑month contract‑to‑hire • Mainly remote • Preference for candidates local to Metro Detroit Responsibilities • Build and maintain secure, scalable ETL/ELT pipelines. • Develop and optimize data models and workflows for analytics and reporting. • Create monitoring and alerting to ensure data quality and pipeline reliability. • Collaborate with engineering, architecture, product, analytics, and IT teams. • Translate business needs into technical solutions. • Conduct code reviews and mentor junior engineers. • Improve processes through automation, tooling, and best practices. • Own critical data flows and reporting systems. • Build dashboards and datasets in Domo. • Participate in Agile ceremonies and surface blockers early. Requirements • Strong SQL skills and data modeling expertise. • Experience with Snowflake or similar cloud data platforms. • Hands-on Python experience (or Java/Scala). • Experience integrating with APIs and third-party data sources. • Familiarity with AWS cloud-native services and infrastructure-as-code. • Strong analytical, debugging, and problem-solving skills. • Experience in Agile environments and influencing without authority. • Strong organizational and time-management skills. Nice to Have • Experience with Domo datasets, dataflows, and dashboards. • Experience building integrations with SaaS APIs like Salesforce. • DBT or automated testing experience. Education & Experience • Bachelor’s degree in Computer Science or related field. • 5+ years developing and maintaining ELT systems. • Experience with Snowflake/BigQuery, SQL, and pipeline development required. • Extra consideration for AWS or Snowflake certifications. Technologies • Data & Visualization: Snowflake, Domo, MongoDB, Dynamo • Cloud: AWS (Kinesis, Lambda, S3, SQS, CDK) • Languages: Python, SQL • Integrations: SaaS APIs (Salesforce, etc.) • Practices: Agile, Git, CI/CD