Senior Cloud Data Engineer

Senior Cloud Data Engineer

When you join the Federal Reserve—the nation's central bank—you'll play a key role, collaborating with leading tech professionals to strengthen and protect our economic, financial and payments systems. We invest in contemporary and emerging technology each year to support the Federal Reserve and our economy, and we're building a dynamic and diverse team for our future. The District IT & Corporate Services portfolio provides enterprise technology solutions and services for the System's District IT needs as well as the corporate and administrative functions. This portfolio supports District IT for each of the 12 Reserve Banks and eight critical business lines Systemwide: Human Resources, Legal, Shared Administrative Services, Finance, Procurement, Audit, Law Enforcement and Facilities.

The selected candidate will reside within a reasonable commuting distance, as defined by the employing Reserve Bank, and will work full-time onsite. Eligible Locations for Hire: Boston, MA- New York, NY- Philadelphia, PA- Cleveland, OH- Richmond, VA- Atlanta, GA- Chicago, IL- St. Louis, MO- Minneapolis, MN- Kansas City, MO- Dallas, TX- San Francisco, CA

This Senior Cloud Data Engineer role will be responsible for all aspects of business intelligence structure including analysis of requirements, design, troubleshooting, support and administration of schemas, data definitions, meta data, and architecture of all data analytic models, databases, and repositories used to create, retain, and analyze business intelligence data.

What You Will Do:

• Responsible for complex data design, database architecture, metadata and repository creations, repository management, construction, and administration
• Configure database parameters, allocate database resources, and review data loaded into databases for accuracy.
• Leads trouble shooting database applications, product support, analysis of data requirements, maintenance of application and processing architectures, and database schemas.
• Establishes integrity of complex data definitions and underlying data models, and monitors/audits overall data quality
• Leads improvements to increase efficiency of infrastructure and automation processes.
• Produce complex data analytic models, ad-hoc queries, and reports for distribution to Audit and business management. Performs basic SQL queries for analysis of existing metrics and the development of new metrics.
• Leads software testing including code-level/unit testing, ETL processes, SQL or reporting tools, code-level unit testing, and script development of moderate complexity.
• Work and collaborates as a part of an Agile team to develop and implement capabilities to enable decision making processes and procedures including data, reporting, dashboards, metadata collection processes, metric collection processes, resolve data issues, data governance and data clean up and maintenance, data sharing agreement processes, etc.;
• Develops conceptual, logical, and physical IT engineering designs, that support the infrastructure requirements of varying levels of technical and business application projects.
• Completes analysis of business requirements, as it relates to technical infrastructure design, and ensure traceability of the design to the business requirements.

Knowledge And Skills:

• Experience using core AWS services to build and support data solutions leveraging architecture best practices [S3, Glue, Lambda)
• Expertise in AWS Storage (S3, EBS), AWS Databases (Aurora Postgress,), AWS Data Integration (Glue).
• Good understanding of AWS Identify and Access management, AWS Networking and AWS Monitoring tools.
• Proficiency in CI/CD and deployment automation using GITLAB pipeline.
• Proficiency in Cloud infrastructure provisioning tools e.g., Terraform.
• Strong technical skill in software engineering for Java EE /Cloud technologies and proficiency in Java Lambdas, Java Streams API, Java functional programming.
• Proficiency in one or more programming languages e.g., Python, Scala.
• Knowledge in Workday data tools including Adaptive & Prism desirable, but not required.
• Knowledge in Ariba desirable, but not required.

Qualifications:

• 9+ years of relevant work experience
• Bachelor's or higher degree relevant discipline
• Certification related to Information Technology preferred.
• Broad knowledge of programming, SQL queries, data warehouses, relational databases, and quantitative/qualitative data analytic techniques
• Broad familiarity with analyzing performance measures and metrics and developing balanced scorecards and dashboards.

The salary range for this position is $139,800 - $209,600. The Boston Fed believes in salary transparency. The final salary and offer will be determined by the applicant's background, skills, internal equity, and alignment with market data. Whether you're developing into the job or are a more seasoned candidate, we aim to pay competitively. If you reside outside of the 1st District (Boston), you may be hired by your local Federal Reserve District and compensation will follow hiring District's range and policy.

The Federal Reserve System is committed to a diverse and inclusive workplace and to provide equal employment opportunities to all persons without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, age, genetic information, disability, or military service.