Data Engineer: IV; Lead

Position: Data Engineer: IV (Lead)
Job Title:

Data Engineer: IV (Lead)

Location:

Remote Duration:
Contract - 4 months Pay Range: 90-95/hr on w2 Job  About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity.

Job Description We are seeking a Big Data Engineer to join our dynamic team and deliver scalable, governed, and business-aligned data products across the enterprise. The ideal candidate will have strong experience in SQL, Python, Snowflake, and dbt and a proven ability to partner with stakeholders to translate business requirements into reliable data pipelines, models, and consumption-ready assets. Top Four

Skills:

Communication Data engineering fundamentals Stakeholder engagement SQL, Python, Snowflake, DBT Resume Addendum (to include at top of resume): A concise summary paragraph providing background, domain focus, and toolset proficiency. A brief summary of recent projects, outcomes, technologies used, and role scope. 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 Dev Ops, 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. Required Skills &

Qualifications:

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. Preferred

Skills:

Azure Dev Ops, 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, Dev Ops, enterprise architects, and business stakeholders. Domain experience in agriculture, energy, supply chain, logistics, trading, hedging, finance, or operations.

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