ETL Developer: Build Data Pipelines & Warehouses

BinTech Group; Nashville (TN); Hybrid; USD 95,000 - 125,000; Full time

Job summary

BinTech Group is seeking a data engineer to join the Data Services team in Nashville. You will design, build, and maintain scalable ETL pipelines to move data from diverse sources into our data platforms, ensuring quality and accessibility.

You will model and optimize data architectures with architects, integrate data across databases and APIs, manage data warehouses or lakes, improve performance, and document pipelines and data dictionaries for governance.

Qualifications

• Experience with data modeling, schema design, and data warehousing concepts.
• Strong knowledge of ETL tools and data integration techniques.
• Database administration or tuning background preferred.
• Familiarity with data visualization tools (Tableau, Power BI) is a plus.

Responsibilities

• Data Pipeline Development: Design, build, and maintain scalable ETL pipelines to extract, transform, and load data from various sources into data systems.
• Data Modeling and Architecture: Collaborate with data architects to design data models and optimize database structures.
• Data Integration: Integrate data from databases, APIs, streaming platforms, and external providers.
• Data Warehouse Management and Administration: Manage storage/retrieval in data warehouses or data lakes, with partitioning and indexing strategies.
• Performance Optimization: Identify bottlenecks and optimize workflows, queries, and indexing to reduce latency.
• Collaboration and Documentation: Work with cross-functional teams and document pipelines, data dictionaries, and specs.

Skills

Data modeling

Schema design

Data warehousing concepts

ETL tools

Data integration techniques

SQL

Problem solving

Communication

Tools

Tableau

Power BI

Airflow

SQL Server

Job description

BinTech Group is seeking a data engineer to join the Data Services team in Nashville. You will design, build, and maintain scalable ETL pipelines to move data from diverse sources into our data platforms, ensuring quality and accessibility.

You will model and optimize data architectures with architects, integrate data across databases and APIs, manage data warehouses or lakes, improve performance, and document pipelines and data dictionaries for governance.