Data Engineer

Product is seeking a Senior Software Engineer to join our data team. You will work closely with product management, sprint managers, and other members of the engineering team to design, develop, test, and deliver data pipelines and bespoke data flow integrations for clients; create product-based solutions that enable customer missions and increase internal delivery efficiency; interface with product and project managers, technology partners, and internal development staff to advise and consent on the integrated technology development and delivery roadmap; and identify, research and evaluate new technologies and technological concepts.

What You’ll Do: 

• Collaborate with cross-functional teams to understand data requirements and design efficient big data pipelines.
• Develop and maintain ETL (Extract, Transform, Load) processes to ingest data from various sources into our data warehouse.
• Implement infrastructure as code principles to automate the deployment and management of data infrastructure
• Implement data quality checks and ensure data integrity, consistency and availability throughout the data lifecycle.
• Assist in designing and optimizing database schemas and data models for scalability and performance.
• Write and optimize SQL queries for data analysis and reporting purposes.
• Support the deployment and monitoring of data pipelines in production environments.
• Stay updated on emerging technologies and best practices in data engineering and infrastructure automation.

What You Need: 

• Bachelor’s degree in Computer Science, Engineering, Data Science, related field, or equivalent experience.
• 3-5+ years of experience, preferably in a data-centric team role
• Strong programming skills in Python. Knowledge of GoLang is a plus
• Familiarity with distributed computing systems, such as Spark, and big data technologies is needed
• Familiarity with database systems (e.g., SQL, NoSQL) and data modeling concepts
• Experience with major DBMSes including SQL Server, MySQL, and cloud warehouses such as Snowflake is a plus
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes) is needed.
• Experience with infrastructure as code principles and tools, such as Terraform is a plus
• Familiarity with Git, BitBucket, SOA, microservices, message queueing and RDBMS concepts, third-party RESTful web services and other APIs is a plus.

We’re an amazing place to work. Why?

• Discretionary Time Off for all employees, with no maximum limits on time off
• Industry leading health, vision, and dental benefits
• Competitive compensation package
• 16 weeks of fully paid parental leave
• Flexible, hybrid approach to working from home and in the office where applicable
• Focus on wellness and employee health through stipends and dedicated wellness programming
• Purposeful career development programs with reimbursement provided for educational certifications

#LI-Hybrid