Data Engineer 4 (Manager IC) - Modeling & Architecture

Description

The company builds technology and solves complex business problems in a collaborative, iterative delivery environment. The data engineering team works on a major transformation across the company, combining data with emerging technologies.

Responsibilities

• Work with Agile teams to design, build, test, release and support technical solutions using full-stack tools.
• Guide a group of developers, data analysts and data scientists who have deep experience in machine learning, distributed microservices, lakehouse architecture and full-stack systems.
• Use Python and Spark, open-source relational and NoSQL databases, and cloud data warehouses such as Databricks and Snowflake.
• Keep up with data trends, test and learn new technologies, take part in internal and external technology communities, and mentor others in the data community.
• Work with product managers and software engineers to deliver reliable, cloud-first data solutions that help millions of Americans reach financial empowerment.
• Design, build and deliver high-quality cloud data solutions and applications on your own, with little or no supervision.
• Define and enforce common data engineering design patterns that keep code high quality, easy to maintain and reusable across platforms and pipelines.
• Explain technical concepts and data results clearly to internal and external stakeholders so everyone stays aligned.
• Build data pipelines and platforms that scale, recover from failure and run efficiently, and that keep performing as data volume and business demands grow.
• Implement data security standards, including encryption at rest and in transit and fine-grained access control, in line with data privacy regulations.

Requirements

• A bachelor's degree or higher in computer science or a related quantitative field such as statistics, economics, operations research, analytics, mathematics or engineering.
• At least 4 years of application development experience. Internship experience does not count.
• At least 2 years of distributed data experience.
• At least 2 years of SQL experience.
• At least 2 years of experience with one of Python, Java or Scala.
• At least 2 years of experience designing and developing data pipelines.
• At least 1 year of experience in data modeling and designing end-to-end solutions across relational and non-relational databases.
• Preferred: 7+ years of application development experience with proven skill in Python, SQL, Scala or Java.
• Preferred: 4+ years of data architecture or data modeling experience.
• Preferred: 4+ years of hands-on experience designing, deploying and running data workloads in at least one public cloud (AWS, Microsoft Azure or Google Cloud).
• Preferred: 4+ years of building or supporting distributed data or compute workloads with tools such as EMR, Spark, Glue or Databricks.
• Preferred: 4+ years of designing, implementing and running real-time or streaming data pipelines.
• Preferred: 2+ years of data observability work (for example Monte Carlo or Splunk) or data orchestration tools (for example Airflow or Dagster).
• Preferred: 4+ years of working with unstructured or semistructured data in NoSQL databases (for example MongoDB, Cassandra or DynamoDB).
• Preferred: 4+ years of designing and supporting data warehouses (for example Snowflake or Redshift).
• Preferred: 2+ years of working in an Agile development environment.
• Preferred: 2+ years of building user-centric reusable data products.
• The company will not sponsor new applicants for work authorization or provide any 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 requires employer immigration support.

Conditions

Full-time annual base salary ranges by location: Cambridge, MA and McLean, VA $197,300 to $225,100; Richmond, VA $179,400 to $204,700. Pay for candidates hired in other locations follows that location's range, and the exact offer amount appears in the offer letter.

Part-time pay is prorated based on the agreed number of regular hours.

The role is eligible for performance-based incentive pay, which may include cash bonuses and or long-term incentives. These may be discretionary or non-discretionary depending on the plan.

The role will accept applications for at least 5 business days.

Agencies are not accepted.

The company considers applicants with criminal histories in line with applicable laws, and is an equal opportunity employer.

Benefits

• Health, financial and other benefits designed to support overall well-being. Eligibility depends on full- or part-time status, exempt or non-exempt classification, and management level.