Data Engineer 5 (Senior Manager, IC)

Description

This Data Engineer 5 (Senior Manager, IC) role suits someone who enjoys combining data with emerging technology and who will be at the front of a major transformation across the company.

The Enterprise Data Tech team manages the data technology, platforms and experiences used across the company. Its goal is to make data easy to find, use, understand, govern and protect across the full data lifecycle. Its core platforms run the data pipeline, including storage and access. Current priorities are building capabilities for the AI era and expanding the company's data platforms.

The work is iterative and collaborative, and it focuses on solving complex business problems in a fast-moving setting.

Responsibilities

• Lead large, transformative data initiatives from start to finish, make key architecture decisions, and weigh options such as Snowflake and Databricks against technical and business needs.
• Work with Agile teams to design, build, test, release and support technical solutions using full-stack tools.
• Build scalable, resilient and efficient data pipelines and platforms that keep performing as data volume and business demand grow.
• Define and apply shared data engineering design patterns that keep code clean, maintainable and reusable across platforms and pipelines.
• Work with product managers and software engineers to build cloud-first data solutions that help millions of Americans reach financial empowerment.
• Design, build and deliver cloud data solutions and applications largely on your own, with little day-to-day supervision.
• Mentor developers, analysts and data scientists, and raise the skills of junior engineers while still contributing hands-on.
• Keep up with data trends, test new technologies, and take part in internal and external communities.
• Explain technical concepts and data results clearly to internal and external stakeholders so everyone works from the same understanding.
• Work with Python, Spark, open-source relational and NoSQL databases, and cloud data warehouses such as Databricks and Snowflake.

Requirements

• Basic: Bachelor's degree or higher in computer science or a related quantitative field such as statistics, economics, operations research, analytics, mathematics or engineering.
• Basic: At least 6 years of application development experience. Internships do not count.
• Basic: At least 4 years of distributed data experience.
• Basic: At least 4 years of SQL experience.
• Basic: At least 4 years programming in Python, Java or Scala.
• Basic: At least 4 years designing and developing data pipelines.
• Basic: At least 2 years of data modeling and designing end-to-end solutions across relational and non-relational databases.
• Preferred: Master's degree in computer science or a related field.
• Preferred: 8+ years in data engineering.
• Preferred: 5+ years designing, deploying and running data workloads on AWS.
• Preferred: 5+ years building or supporting distributed data or compute workloads with EMR, Spark, Glue or Databricks.
• Preferred: 5+ years designing, implementing and running real-time or streaming data pipelines.
• Preferred: 5+ years working with unstructured or semistructured data in NoSQL databases such as MongoDB, Cassandra or DynamoDB.
• Preferred: 5+ years designing and supporting data warehouses such as Snowflake or Redshift.
• Preferred: 4+ years of data modeling experience.
• Preferred: 3+ years working in an Agile environment.
• Preferred: 3+ years building user-centric, reusable data products.
• Preferred: 3+ years with data observability tools such as Monte Carlo or Splunk, or orchestration tools such as Airflow or Dagster.

Conditions

Base salary ranges for full-time roles: Cambridge, MA and McLean, VA are $229,900 to $262,400; New York, NY is $250,800 to $286,200, all for Data Engineer 5.

These ranges apply only to hires working in those locations. Candidates hired elsewhere get the range for their location, and the exact offer amount appears in the offer letter.

Part-time salaries are prorated by the agreed number of regular hours.

The company will consider sponsoring a new qualified applicant for work authorization for this role.

Applications will be accepted for at least 5 business days.

Agencies are not accepted.

The company is an equal opportunity employer and considers applicants with criminal histories as the law allows.

Canadian postings are for the Canadian entity, UK postings for the European entity, and Philippine postings for the Philippine service entity.

Benefits

• Performance-based incentive pay, which may include cash bonuses and or long-term incentives, can be discretionary or non-discretionary depending on the plan.
• Health, financial and other benefits, with eligibility based on full- or part-time status, exempt or non-exempt status, and management level.