Senior Data Engineer & Analytics Developer

Position: Senior Data Engineer & Analytics Developer (1086)
Job Title:

Senior Data Engineer & Analytics Developer (1086)

Location:

Remote Duration:
Contract - 6 months Pay Range: $65/hr $65/hr (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 Senior Data Engineer & Analytics Developer to join our dynamic team. The ideal candidate will have strong experience in GCP, Big Query, Cloud Composer, Python, SQL, and Tableau and a proven ability to design scalable data architectures, build robust pipelines, and deliver production-quality Tableau dashboards end to end. Responsibilities:
Design and implement scalable data pipelines in GCP using Big Query, Cloud Composer, and Python. Model layered datasets for reuse using medallion and dimensional patterns with clear documentation and governance. Develop end-to-end Tableau dashboards, including data source design, performance tuning, and publishing workflows. Optimize Big Query cost and performance through partitioning, clustering, and materialized views. Orchestrate production-grade workflows with scheduling, retries, and dependency management in Cloud Composer.

Partner with cross-functional stakeholders to translate requirements into scalable data solutions and self-serve analytics. Required Skills &

Qualifications:

Advanced proficiency in Python and SQL for data transformation, pipeline logic, and performance optimization. Hands-on experience with GCP services including Big Query, Cloud Composer (Apache Airflow), GCS, and Cloud Functions. Proven ability to design reusable, modular datasets and apply medallion and star schema patterns. Track record of building production-quality Tableau dashboards on well-modeled data layers. 5+ years in data engineering roles with meaningful GCP/Big Query experience.

Preferred

Skills:

Experience with Vertex AI Pipelines and ML workflow orchestration. Infrastructure-as-code with Terraform and CI/CD for data pipelines. Familiarity with Data Vault modeling and targeted denormalization practices.

Experience with Jupyter notebooks and Git/Git Lab workflows. 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. Role Summary We are seeking a Data Engineer with strong analytics capabilities who can own the full data lifecycle from scalable pipeline development to polished Tableau dashboards. The ideal candidate thinks architecturally, designs datasets for reuse and longevity, and avoids one-off solutions.

The role requires proficiency in Python and SQL as primary working languages and Tableau for reporting. Core Competencies Data Engineering and Pipeline Development Hands-on Big Query expertise including dataset design, partitioning and clustering, materialized views, and cost optimization. Proficiency with Cloud Composer for orchestrating production pipelines with schedules, retries, and dependencies. Experience building and maintaining Vertex AI Pipelines for ML and large-scale transformations.

Advanced SQL including window functions, CTEs, recursive queries, and tuning. Strong Python for transformation scripts, custom Airflow operators, API integrations, and automation. Data Architecture and Scalable Design Design of layered architectures using Medallion, Dimensional Modeling, Data Vault, and targeted denormalization as appropriate. Creation of modular, multi-purpose datasets with canonical models and shared dimensions. Disciplined approach to table creation versus extension or views to prevent duplication and sprawl.

Adherence to best practices for naming, schema organization, documentation, and lifecycle management. Tableau Dashboard Development End-to-end Tableau development from data source configuration and extract optimization to interactive visual design. Translation of business questions into clear, intuitive visualizations for self-service. Knowledge of performance tuning, published data sources, and server or cloud publishing workflows. Alignment of upstream data modeling with downstream dashboard performance.

Technical Stack Cloud Platform:
Google Cloud Platform (GCP) Data Warehouse:
Big Query (advanced) Orchestration:
Cloud Composer / Apache Airflow ML Pipelines:
Vertex AI Pipelines Visualization:
Tableau (Desktop, Server/Cloud)

Languages:

Python (advanced), SQL (advanced)

Infrastructure: Terraform (preferred), GCS, Cloud Functions Version Control:
Git / Git Lab What Sets the Ideal…