Senior Data Engineer for a healthcare start up

Who Is Recruiting From Scratch

Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers, software, and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire. We work with companies funded by the best investors including Sequoia Capital, Lightspeed Ventures, Tiger Global Management, A16Z, Accel, DFJ, and more.

If you are a fit, the team will reach out to you about this role or any others that may be a fit for our clients.

About Our Client

Our client's mission is to create a new standard for mental health delivery, accessible to people and sustainable for providers. They are broadening access to care through offering increased service types (coaching, groups, therapy), measurement-based care, and insurance-funded care. Now more than ever, we are looking to address mental health needs of our communities. They are VC-backed and was founded in 2018 with footprints in New York and California, as well as virtually nationwide.

About The Role

We are seeking a mid-senior level Data Engineer to write high-quality production code and perform as a key contributor to our central Data Warehouse and data processing systems to support the Business Intelligence team and assist business operations .Octave is a full-stack behavioral health services company: we employ therapists, contract with insurance providers for reimbursing care, and run our own tech stack to support across the business. We are a technology-enabled service provider working to increase access to mental health care for insured people in the US.The team is distributed across the US and has varied backgrounds, from education to fitness, advertising, travel, and healthcare. The role is virtual, with the opportunity to work in person in San Francisco in the future. This role reports to an Engineering Manager.

Essential Responsibilities

• Build and maintain data pipelines on AWS using best-in-class technologies (e.g., Python, Spark, Glue, Redshift, Athena, etc.)
• Create analytic & data processing tools and reporting dashboards utilizing data pipelines to provide insights for operational teams
• Build data extraction jobs from a variety of data sources (relational databases, APIs, FTP sites, etc.)
• Jointly architect a high-dimensional data-warehouse using industry standard data warehousing principles
• Grow into a Data Engineering Lead responsible for managing data systems (data warehousing & analytics) and ensuring high quality data for business operations
• Evolve the core data model and schema through business growth
• Maintain high quality data for reporting and analysis through the use of automated testing and data quality validation
• Must be legally authorized to work in the United States without the need for employer sponsorship now or anytime in the future.

Experience, Skills, Knowledge And/or Abilities

• 5+ years of data engineering experience
• Expertise with the Python, PySpark, and the AWS Big Data ecosystem
• Deep knowledge of SQL (preferably PostgreSQL)
• Expertise in building out data pipelines, ETL design (both implementation and maintenance), and data warehousing
• Previous experience working with agile collaborative software development methodology and related tools (preferably Pivotal Tracker and GitHub)
• Excellent written, communication, analytical skills, and attention to detail
• Willingness to learn and improve data engineering skills through collaboration with senior engineers
• Architected star or snowflake schema data warehouses
• Solid Object Oriented software engineering design and implementation skills
• Experience with business analytics tools such as Tableau and Looker is highly desirable
• B.S. / M.S. in Computer Science, Electrical Engineering or related experience
• Must be eligible to work in the United States without sponsorship now or anytime in the future

Benefits: PTO, Healthcare, and more

Base Salary Range: $150,000 to $170,000