Data Engineer

Summary

A Data Engineer designs, builds, and maintains a company's data infrastructure, ensuring data is accessible, timely, and accurate for data scientists, applications, and other users. They focus on creating data pipelines, systems for data collection, storage, and access, and optimizing data processing for scale. This role requires a strong understanding of data management, programming, and cloud computing, along with the ability to collaborate with other teams. They possess strong Python and SQL skills as well as familiarity with building and deploying these in a cloud environment.

COMPENSATION AND BENEFITS:

The anticipated annual salary range for individuals expressing interest in this position is $100,000 - $120,000. Actual compensation offered to a candidate may vary based upon geographic location, work experience, education and/or skill levels.

Benefits Available to Eligible Employees Include the Following: 

? Medical, dental, vision insurance 

? Wellness and mental health benefits 

? Tax-advantaged health care accounts 

? Financial and income protection benefits (Life insurance, short term disability, 401(k)

? Paid Time Off (PTO), holidays, and sick time off 

? Remote worker assistance for wellness and home office 

Responsibilities

Develop and maintain data processing pipelines (ETLs)

Develop and maintain API endpoints

Work with engineering teams across the company to improve dataflows and tracking

Ensuring data security and compliance with relevant regulations. 

Assist with operational items in data warehouses (e.g. reloading data, optimizing reporting queries etc.)

Troubleshooting issues and identifying areas for improvement in data systems and pipelines.

•  At least 3-5 years of relevant work experience
• Understanding of ETL fundamentals and experience building data pipelines
• Experience with creating services and projects in Python
• Advanced knowledge of SQL and experience with relational databases (Postgres, MySQL)
• Experience with analytical storage engines and NoSQL databases (Redshift, DynamoDB, Clickhouse, or similar) 
• Experience building and deploying services in AWS
• Experience with Agile methodologies

Preferred

• Bachelor’s degree in Statistics, Computer Science or related area of study preferred
• Experience with modern business intelligence and product reporting tools (preferably Looker)
• QA/Testing experience
• Kubernetes / Docker experience
• Machine Learning experience
• Terraform or similar experience

About DMS:

Digital Media Solutions® (DMS) is a leading provider of technology-enabled digital performance advertising solutions connecting consumers and advertisers. DMS is a growing company that provides team members with opportunities to learn new technologies and enhance their skills. In addition to competitive salaries, reliable work schedules, access to technology, an energetic and connected work culture and an impressive suite of employee health and wellness benefits, DMS also offers employees the chance to further acquire industry knowledge and network with colleagues. The culture at DMS is built on a foundation of collaboration, support and inclusion. DMS believes in the power of teamwork. DMS is more than just an award-winning company, we are a team that supports one another, challenges each other and celebrates together.