Midwestern Interactive, LLC
Jobs
Senior Data Engineer | Azure Databricks, Synapse, Snowflake, Python, SQL | Contract-to-Hire
Senior Data Engineer | Azure Databricks, Synapse, Snowflake, Python, SQL | Contract-to-Hire
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The Role
Design, build, and maintain scalable Azure-based data pipelines, lakes, and warehouses. Create ETL/ELT processes, dimensional models, and business-ready datasets. Support reporting and Power BI, implement data quality, governance, monitoring, and document platform architecture and processes while partnering with stakeholders.
Summary Generated by Built In
The Opportunity
What You'll Do
Required Qualifications
Preferred Qualifications
Compensation
Our client attracts people who think critically, communicate clearly, and execute with urgency. People who take ownership, solve problems independently, and thrive in environments where impact matters more than hierarchy.
They're a boutique tactical asset manager serving the independent broker-dealer and RIA market. As they continue investing in their data platform, they're looking for a Senior Data Engineer to help build the foundation that powers analytics, reporting, operational insights, and future AI initiatives.
This is a highly visible role where you'll work directly with business and technology stakeholders to design and implement scalable data solutions that support growth across the organization.
Location: Onsite, 5 days a week, Bethesda-MD
Senior Data Engineer | Azure Databricks, Synapse, Snowflake, Python, SQL | Contract-to-Hire | $120K-$140K
- Design, build, and maintain scalable data pipelines that integrate data from internal systems, third-party platforms, APIs, and external data providers.
- Help design and develop a centralized Azure-based data lake and analytics platform.
- Build and optimize ETL/ELT processes using modern cloud data technologies.
- Develop trusted, business-ready datasets that support reporting, analytics, and operational decision-making.
- Design and maintain dimensional models, data marts, and curated datasets for downstream consumption.
- Partner with business stakeholders to understand reporting and analytics requirements and translate them into scalable data solutions.
- Support Power BI dashboards, operational reporting, and ad hoc analytical needs.
- Implement data quality, monitoring, validation, and governance processes to ensure reliable and accurate data.
- Contribute to data platform architecture decisions, performance optimization, and cloud cost management.
- Document data assets, processes, and technical designs to support long-term maintainability.
Required Qualifications
- 5+ years of experience in Data Engineering, Data Warehousing, or related disciplines.
- Strong SQL skills and experience developing complex queries, transformations, and data models.
- Professional experience with Python and modern ETL/ELT development.
- Hands-on experience with Azure Data Factory, Azure Databricks, Synapse Analytics, or similar Microsoft data technologies.
- Experience building and maintaining cloud-based data lakes, warehouses, or lakehouse environments.
- Strong understanding of dimensional modeling, star schemas, and data warehousing best practices.
- Experience integrating data from APIs, databases, flat files, and third-party platforms.
- Experience working directly with business stakeholders to deliver reporting and analytics solutions.
- Strong communication skills and ability to operate independently in a fast-paced environment.
- Experience in financial services, asset management, wealth management, or other regulated industries.
- Experience with Snowflake, dbt, or modern analytics engineering practices.
- Experience supporting Power BI or other business intelligence platforms.
- Experience with Airflow or similar orchestration tools.
- Experience working with Azure cloud services and cloud-based data architecture.
- Familiarity with data governance, security, and regulatory requirements.
- Experience building greenfield data platforms or leading cloud migration initiatives.
We cut through the industry BS with brutal transparency and an obsession with execution. If you’re looking for a slow pace and low volume, this isn’t for you.
If you want to drive, build, and scale, this is your shot. Please note, we are unable to provide visa sponsorship now or in the future.
The base pay range for this role is $120,000 – $140,000 per year.
Skills Required
- 5+ years of experience in Data Engineering, Data Warehousing, or related disciplines.
- Strong SQL skills and experience developing complex queries, transformations, and data models.
- Professional experience with Python and modern ETL/ELT development.
- Hands-on experience with Azure Data Factory, Azure Databricks, Synapse Analytics, or similar Microsoft data technologies.
- Experience building and maintaining cloud-based data lakes, warehouses, or lakehouse environments.
- Strong understanding of dimensional modeling, star schemas, and data warehousing best practices.
- Experience integrating data from APIs, databases, flat files, and third-party platforms.
- Experience working directly with business stakeholders to deliver reporting and analytics solutions.
- Strong communication skills and ability to operate independently in a fast-paced environment.
- Experience in financial services, asset management, wealth management, or other regulated industries.
- Onsite presence 5 days a week in Bethesda, MD.
- Experience with Snowflake, dbt, or modern analytics engineering practices.
- Experience supporting Power BI or other business intelligence platforms.
- Experience with Airflow or similar orchestration tools.
- Familiarity with data governance, security, and regulatory requirements.
- Experience building greenfield data platforms or leading cloud migration initiatives.
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The Company
What We Do
Midwestern Interactive, LLC is a U.S.-based software and product development firm that delivers cloud and mobile applications, digital strategy, and creative/media services. The company provides scoped projects, embedded engineering teams, and recruiting/talent services to help clients accelerate product development and scale technical capability. Founded in 2012 and headquartered in Joplin, MO, Midwestern focuses on end-to-end product delivery and talent partnerships for growing businesses.
