Data Engineer: IV (Lead)

BCforward is a leading global IT consulting and workforce solutions firm providing services to Fortune 500 and government clients. They are seeking a Big Data Engineer to deliver scalable data products across the enterprise, partnering with stakeholders to translate business needs into reliable data pipelines and models.

Responsibilities:

• Partner with business and technical stakeholders to gather requirements, define analytics needs, and transform source system data
• Translate business requirements into scalable data models, pipeline logic, transformation patterns, and architecture decisions
• Design, build, test, deploy, and maintain data pipelines across Snowflake, AWS, and Microsoft platforms
• Develop governed data products that support reporting, analytics, data science, automation, and business decision-making
• Build and maintain data models and transformations using SQL, Python, dbt, Snowflake, and modern practices
• Collaborate with DevOps, architecture, security, analytics, and business teams to move solutions into production
• Apply development standards including version control, code review, testing, documentation, and CI/CD
• Support data governance including RBAC, access controls, naming standards, lineage, and data quality expectations
• Identify opportunities to automate processes, improve delivery, optimize performance, and reduce operational risk
• Troubleshoot pipeline failures, data quality issues, access issues, and performance bottlenecks
• Support migration and decommissioning of legacy platforms, reports, and manual processes
• Convert recurring ad hoc analysis into scalable data delivery solutions in partnership with analysts and data scientists
• Embody a culture of ownership, continuous improvement, documentation, innovation, and learning

Requirements:

• Bachelor's degree in Computer Science, Data Science, IT, MIS, Engineering, Mathematics, or a related field
• 3+ years in data engineering, analytics engineering, BI engineering, software engineering, or related technical roles
• Strong SQL and Python skills for building, optimizing, and supporting transformations and pipelines
• Experience developing pipelines, ETL/ELT processes, data models, or analytics-ready datasets
• Production experience with Snowflake and dbt
• Experience with cloud data platforms such as AWS or Microsoft Azure
• Ability to translate business requirements into technical solutions
• Analytical, problem-solving, communication, and documentation skills
• Ability to work independently and collaborate in a team environment
• Azure DevOps, Git, CI/CD, APIs, AWS Lambda, S3, Octopus Deploy, Power BI, or related tools
• Governed data environments, RBAC, secure access, data sharing, and enterprise data governance
• Medallion architecture, data products, domain-oriented ownership, or self-service analytics
• Experience collaborating with analysts, data scientists, product teams, DevOps, enterprise architects, and business stakeholders
• Domain experience in agriculture, energy, supply chain, logistics, trading, hedging, finance, or operations