Job Title: Data Engineer: IV (Lead)
Location: Remote
Duration: Contract - 4 months
Pay Range: 90-95/hr on w2
Job ID: 399938
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 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.
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 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.
Why BCforward?
At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to:
- Competitive compensation and benefits.
- Opportunities for growth with global clients.
- A supportive, inclusive culture that values innovation and people.
- Exposure to cutting-edge technologies and projects.
About Our Commitment
BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status.
Interested? Apply Now!
If this sounds like the right opportunity for you, please apply with your most recent resume, ensuring the requested summary content is included at the top.
Requirements
Job Title: Data Engineer: IV (Lead)
Location: Remote
Duration: Contract - 4 months
Pay Range: 90-95/hr on w2
Job ID: 399938
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 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.
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 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.
Why BCforward?
At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to:
Competitive compensation and benefits.
Opportunities for growth with global clients.
A supportive, inclusive culture that values innovation and people.
Exposure to cutting-edge technologies and projects.
About Our Commitment
BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status.
Interested? Apply Now!
If this sounds like the right opportunity for you, please apply with your most recent resume, ensuring the requested summary content is included at the top.