Remote Senior Data Engineer

Description:

• The Senior Data Engineer is responsible for expanding and optimizing data and data pipeline architecture.
• This role involves monitoring, troubleshooting, and performance tuning data flows used in the collection, integration, and provisioning of data.
• The position requires experience in building data pipelines and optimizing entire data systems, including greenfield opportunities.
• The Senior Data Engineer collaborates with software development teams, database architects, data analysts, and end users on complex data initiatives.
• This role ensures that the data delivery architecture aligns with best practices.
• The Senior Data Engineer oversees the development of junior team members through mentorship, training, guidance, and direct management.
• Contributions to data architecture and technology roadmaps to support strategic growth and team development are expected.
• Preferred locations include Western states, the Midwest, or remote.

Requirements:

• Candidates must have 7 or more years of Data Engineering experience in an oversight capacity.
• Extensive domain-specific experience in the Financial Services industry is required.
• Experience with Microsoft cloud-based technologies in a hybrid architecture is necessary.
• Advanced working knowledge of TSQL and experience with relational databases, query authoring, stored procedure development, and end-to-end data pipeline development are essential.
• Candidates should have experience performing operational analysis on internal and external data and processes to identify failure points and improvement opportunities.
• Strong analytic skills related to complex, multi-layered data pipelines and dependent datasets are required.
• A holistic awareness of processes supporting data preparation, metadata, dependencies, lineages, compliance, and workload management is necessary.
• Understanding of data modeling concepts, including conceptual, logical, relational, and dimensional data modeling, is required.
• Familiarity with meta-model and metadata management requirements is essential.
• Specific skills include extensive experience with SQL-based syntax, designing and implementing data structures and interfaces, and experience with relational database platforms, preferably MS SQLServer.
• Experience with data pipeline tools such as SSIS, orchestration tools like ActiveBatch, web services and API integrations, and scripting languages such as Python and PowerShell is required.
• Familiarity with Agile, DevOps, and DataOps methods and technologies is necessary.
• Knowledge of data visualization technologies such as Tableau and PowerBI is preferred.

Benefits:

• The position offers a competitive salary plus excellent benefits and perks.
• Benefits include medical, dental, and vision coverage.
• The company provides a 401(k) and ESOP contribution.
• Employees receive generous sick, vacation, and maternity/parental leave.
• Paid holidays are included in the benefits package.
• Professional development opportunities and tuition reimbursement (with a $15,000 lifetime cap) are offered.
• Employees can access discounted personal insurance, including home, auto, and recreational vehicles.
• The company has a charitable gift-matching program.
• The Davidson Day of Giving tradition positively impacts the communities in which employees live and work.