Company Description
Attune is making it easier, faster, and more reliable for small businesses to access insurance (think, pizza place down the street or main street store). They all need insurance to protect their businesses, but when it comes time to get a policy, they're bogged down by hundreds of questions, lots of paperwork, and a seemingly never-ending timeline stretching for weeks or months.
We're changing that. By using data and technology expertise to understand risk, automating legacy processes, and creating a better user experience for brokers, we're able to provide policies that are more applicable and more transparent in just minutes.
Recently, we joined Coalition, Inc. (Coalition), a leading cyber insurance and security provider, combining comprehensive insurance and proactive cybersecurity tools to help businesses manage and mitigate cyber risk. Our combined company is worth $3.5B, with our latest raise reaching $205M and participation from world-class investors like Index Ventures and T. Rowe Price.
Attune operates individually with its own brand identity and mission while strengthening and complementing Coalition's vision, giving its customers access to new and evolving insurance markets. Together, we serve 130,000 small business policyholders who pay us ~$500M per year in insurance premiums to ensure their security.
Now our growth is at hyperspeed- not only our mission but also our team. We've earned our spot on many workplace award lists in staying true to our values. We're dedicated to creating a diverse team of curious, focused, and motivated people passionate about changing the future of an entire industry.
Job Description
As a Data Engineer joining our growing analytics team you will help to maintain our existing data pipelines and internal web applications, and work with team members across the organization to develop and test new pipelines as we launch new products and integrate with third-party data sources. We work with various tools including Python/Pandas, Postgresql, Bash, AWS EC2, and s3, and are open to using whatever tool is best for the job.
Responsibilities:

• Maintain and improve batch ETL jobs - including SQL query optimization, bug fixes and code improvements
• Work with our data engineers, BI, and other teams across the business to develop/refine ETL processes
• Understand and answer questions on the data our team maintains

Requirements:

• 3+ years experience in analytics, data science, or data engineering role
• Strong Python and Postgresql skills
• Solid understanding of relational database design and basic query optimization techniques
• Experience working with git, and Gitlab or Github
• Nice to have:
• Experience with Linux CLI, shell programming
• Understanding of CI/CD
• Experience with AWS EC2 and s3