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Senior Data Engineer Jobs
Company | Curology |
Address | , Remote |
Employment type | FULL_TIME |
Salary | $150,000 - $190,000 a year |
Expires | 2023-06-27 |
Posted at | 1 year ago |
As a team, Data Engineering enables teams throughout the company to make decisions with data they feel confident in. Data underpins virtually everything we do at Curology—from a truly individualized patient experience, to efficient business operations, to cutting edge Marketing workflows. Data Engineering is the foundation a data driven company is built on. For this role, we believe in the following:
Data as a product. We believe the true potential of Foundation teams lies in a product-oriented mindset and that this is even more relevant to data.
Exceptional impact. Data Engineers are force-multipliers that enable others to work better and faster. Data is deeply integrated into what we do, this role and team are key to our continued success.
Modern data stack. We use the best tools for the job and you will be part of growing and cultivating our modern data stack. AWS, Snowflake, our S3 Data Lake, we build for the future.
A talented and passionate team. Our small team of data engineers has achieved outsize results by maintaining a high bar for ownership and product quality.
In this role, you will:
- Keep Privacy and Data Protection (PDP) the first-order consideration of data.
- Work with the team to integrate consistent and high coding standards.
- Work closely with application and site reliability engineers to ensure data quality, integrity and availability.
- Automate manual processes by working closely with teams like Marketing, BizOps, and Product to discover opportunities for programmatic efficiency.
- Work on initiatives to keep our system elegant and productivity high — such as improving our metrics, analytics, and experimentation infrastructure.
- Utilize a modern stack to build a cloud-first product.
- Respond quickly to data strike team requests.
- Design, manage and optimize the flow of data throughout the organization.
You will be successful if you have:
- Write idiomatic python.
- Anticipates problems before they arise and devises solutions to those problems.
- Worked closely with Marketing teams and having a deep understanding of paid channel automation.
- Given an analysis problem, suggest data models and key reasons for choices.
- Know major data warehousing tools and concepts.
- Worked with modern database systems, especially Snowflake.
- Strong expertise in data architecture for efficiency of storage and retrieval of data, especially in modern usage-based systems.
- Understand the tradeoffs between different database models.
- Used Airflow or other job schedulers to develop and monitor batch data pipelines.
- At least 5 years experience building software with Python.
- At least 6 years experience modeling SQL and noSQL data.
- Understands advanced Snowflake capabilities, as well as when and how to use them.
- Experience with AWS data services.
- High emotional intelligence and a kind demeanor.
- Willing to lead in areas of strength and learn new skills when needed.
- Reaches out to other departments and areas of the company to build relationships.
- Familiar with industry standard coding and documentation best practices.
- Handles Strike Team tickets quickly and efficiently.
- Experience with the following technologies: Python, MySQL, Snowflake, Airflow, Terraform, AWS
- Is an expert in all of the technologies that Data Engineering works with on a weekly basis.
- Has earned the trust and respect of other members of the Data Engineering Team.
- Worked with Apache Spark or other Big Data tools.
- Worked with permissions and regulated or controlled data (HIPAA/GDPR/CCPA/FDA).
- Write object oriented and reusable code.
- Passionate about getting the right data to the right person.
- Takes a leading role in documenting post-mortems after problems arise.
- Is able to fully architect, build and deploy a solution with no supervision.
- Built systems at scale with AWS Lambda or a similar serverless technology.
- Engages in significant thought leadership within the Data Team.
You will love working at Curology because:
- Free subscription to Curology or Agency (for you and another VIP of your choice!)
- Additional holidays: Curology days off (1 per quarter), 1 annual floating holiday (employee’s choice), and Gratitude Week (employees take the full week of Thanksgiving off; business critical teams observe different days)
- 11 company observed holidays
- Company-sponsored events
- Pre-tax commuter benefits
- Paid parental leave
- Minimum Time Off policy (unlimited PTO, with at least 3 weeks off) for exempt employees
- $75 WFH stipend (remote employees)
- Comprehensive benefits: medical, dental, and vision insurance for employees; flexible spending account; 401k; mental health & wellness programs
- Competitive salary and equity packages
- Employee donation matching program
- Home office setup stipend (remote employees)
#LI-EH1
#LI-Remote
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