Data Engineer 4 (Cloud Operations Resilience Engineering) (MEG)

Description

The team is hiring data engineers who enjoy combining data work with emerging technologies and solving complex business problems.

The role is central to a major transformation across the company, which works in an iterative, collaborative and inclusive delivery environment.

Responsibilities

• Work with Agile teams to design, build, test, release and maintain technical solutions across full-stack tools.
• Build and design data pipelines and platforms that scale, stay resilient and run efficiently as data volume and business demands grow.
• Lead and guide developers, data analysts and data scientists who have deep experience in machine learning, distributed microservices, lakehouse architecture and full-stack systems.
• Write code in Python and Spark, work with open-source relational and NoSQL databases, and use cloud data warehouses such as Databricks and Snowflake.
• Design and deliver high-quality cloud data solutions and applications on your own, with little or no day-to-day direction from managers.
• Set and enforce common data engineering design patterns that keep code high quality, easy to maintain and reusable across platforms and pipelines.
• Work with product managers and software engineers to build cloud-first data solutions that help millions of Americans improve their financial situation.
• Implement data security standards, including encryption at rest and in transit and fine-grained access control, in line with data privacy rules.
• Explain technical concepts and data results clearly to internal and external stakeholders so everyone works from the same understanding.
• Track new developments in data, try and learn new tools, take part in internal and external technology communities, and mentor other members of the data community.

Requirements

• Hold a bachelor's degree or higher in computer science or a quantitative discipline such as statistics, economics, operations research, analytics, mathematics or engineering.
• Have at least 4 years of application development experience. Internship time does not count.
• Have at least 2 years working with distributed data.
• Have at least 2 years of hands-on SQL experience.
• Have at least 2 years using one of Python, Java or Scala.
• Have at least 2 years designing and developing data pipelines.
• Have at least 1 year of data modeling and designing end-to-end solutions across relational and non-relational databases.
• Preferred: 7+ years of application development with proven skill in Python, SQL, Scala or Java.
• Preferred: 4+ years designing, deploying and running data workloads in at least one public cloud, such as AWS, Microsoft Azure or Google Cloud.
• Preferred: 4+ years building or supporting distributed data or compute workloads with tools such as EMR, Spark, Glue or Databricks.
• Preferred: 4+ years designing, implementing and operating real-time or streaming data pipelines.
• Preferred: 2+ years working with data observability tools such as Monte Carlo or Splunk, or orchestration tools such as Airflow or Dagster.
• Preferred: 4+ years working with unstructured or semistructured data in NoSQL databases such as MongoDB, Cassandra or DynamoDB.
• Preferred: 4+ years designing and supporting data warehousing solutions such as Snowflake or Redshift.
• Preferred: 2+ years working in an Agile development environment.
• Preferred: 2+ years developing user-centric reusable data products.

Conditions

Salary ranges are full-time annual base pay by location: McLean, VA $197,300 to $225,100; New York, NY $215,200 to $245,600; Plano, TX, Richmond, VA and Riverwoods, IL $179,400 to $204,700. Part-time pay is prorated to the agreed hours.

Offers for other locations follow that location's range, and the exact salary is stated in the offer letter.

The company will not sponsor new applicants for work authorization and gives no immigration-related support for this role, including H-1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, O-1, or any other status that needs employer immigration support.

Applications will be accepted for at least 5 business days.

Postings in Canada are for the company's Canadian entity, postings in the United Kingdom for its European entity, and postings in the Philippines for its Philippines service corporation.

The company is an equal opportunity employer and does not accept agencies. It considers applicants with criminal histories in line with applicable laws.

Benefits

• Eligible for performance-based incentive pay, which may include cash bonuses and or long-term incentives, discretionary or non-discretionary depending on the plan.
• Access to a broad package of health, financial and other benefits. Eligibility depends on full- or part-time status, exempt or non-exempt classification and management level.