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Thirty Madison

Senior Data Engineer

Reposted 4 Days Ago
Remote
Hiring Remotely in US
158K-218K
Senior level
Remote
Hiring Remotely in US
158K-218K
Senior level
The Senior Data Engineer will design and develop data architectures, optimize systems and processes, and collaborate with cross-functional teams to support data-driven decision making in healthcare.
The summary above was generated by AI

As a Senior Data Engineer, you will be working alongside an existing team of experienced Data engineers, Analytics engineers, Machine Learning Engineers, and Analysts partnering closely with technologists across the company to help build the future of digital health security and protect our patients! We serve our patients from end to end, and data works the same way, all the way from the deepest infrastructure to the patient experience, we want our patients data to be safe and secure. Above all, you embody the Thirty Madison mission of providing access to healthcare for all who suffer from chronic conditions.

Comp | Perks | Benefits 

  • The base pay range for this position is $158,400 - $217,800 per year.**
  • Competitive Salary + Annual Incentive Plan + Stock Option Package
  • Robust and affordable Health, Dental, and Vision plan options 
  • 401k with a match, commuter benefits, and FSA
  • Annual $750 vacation stipend and $500 happiness stipend
  • Flexible time off policy
  • Career growth opportunities 

** Within the range, individual compensation will be determined through a wide variety of factors including but not limited to education, experience, knowledge, and skills. Please note that the compensation range listed reflects the base salary only, and does not include incentive target, equity, or benefits.”

What you get to do every day 

  • Design and develop robust data architectures and data pipelines to support data ingestion, processing, storage, and retrieval. Evaluate and select appropriate technologies, frameworks, and tools to build scalable and reliable data infrastructure.
  • Optimize data engineering systems and processes to handle large-scale data sets efficiently. Design solutions that can scale horizontally and vertically.
  • Collaborate with cross-functional teams, such as data scientists, software engineers, and business stakeholders, to understand data requirements and deliver solutions that meet business needs. Effectively communicate complex technical concepts to non-technical stakeholders.
  • Develop audits for data quality at scale, implementing alerting and anomaly detection as necessary
  • Model the business data layer (normalized and denormalized) that will expose data to downstream consumers, making our data more actionable and clean
  • Create scalable dashboards and reports to support business objectives and enable data-driven decision making

What you bring to the role

  • 5+ years of experience experience in Data Engineering, Data Science, Analytics Engineering, or similar field
  • Expertise in SQL and proficient in at least one data engineering language, such as Python or Scala
  • Experience with Looker and data visualization tools generally
  • Excellent communication skills with a history of strong collaborations with technical and non-technical partners
  • Experience with an ETL framework (e.g., Prefect, Airflow, or Dagster )
  • Expertise with data warehousing and modeling. Hands-on experience with relational databases) and columnar databases (e.g., Snowflake, BigQuery, Redshift)
  • Experience with the modern data technologies (Fivetran, Snowflake,  dbt, Looker, Hightouch, Hex, or equivalents)
  • Strong analytical and problem-solving abilities, with the capability to simplify complex issues into actionable plans.
  • Ability to mentor and guide other data engineers
  • Comfortability working in ambiguous environments where problems are not well-defined and evolve quickly

Bonus Points

  • Experience influencing large organizations on technology or architecture direction
  • Experience collaborating with ML engineers to develop and productionize models
  • Side projects or open source contributions to data frameworks and tooling
  • Experience with data governance within the healthcare industry

All Company policies and procedures are subject to change without notice based on business needs. This includes, but is not limited to, the locations where we hire remote, hybrid, or onsite employees.

U.S. Applicants Only

Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Thirty Madison we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

We are proud to be an equal opportunity workplace committed to building a team culture that celebrates diversity and inclusion.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions. Contact us at [email protected] to request accommodation.

About Thirty Madison 

Thirty Madison is a family of specialized healthcare brands devoted to creating exceptional outcomes for all. Each of its specialized brands is focused on a specific ongoing condition, and thoughtfully designed to support the unique needs of its community with personalized treatments and care; with Keeps for men's hair loss, Cove for migraine,  Facet for skin conditions, and NURX for sexual health. With empathy at the heart of its innovation, its proprietary care model empowers hundreds of thousands of people with ongoing conditions with the accessible, effective treatments across a lifetime of care. In just four years, we’ve built a number of brands and are continuing to grow rapidly, recently raised a $140m Series C, and are backed by some of the best healthcare and consumer investors, including HealthQuest Capital, Mousse Partners, Bracket Capital, Polaris Partners, Johnson & Johnson, Maveron, Northzone, among others.

We are honored to become Great Place to Work certified and be included on BuiltIn's 2021 list of Best Places To Work in New York City, and Best Midsize Companies To Work For. We've also been recognized by Forbes' Best Startup Employers, being named as one of America's Best Places to Work 2022. This recognition is a true testament to our hardworking team and company culture. As we continue to grow, we pride ourselves on finding passionate individuals who truly embody our core values and mission each and every day. Learn more at ThirtyMadison.com. 

*This employer participates in E-Verify and will provide the federal government with your I-9 Form information to confirm that you are authorized to work in the U.S.*

*Please be aware that there are fraudulent entities who are falsely claiming to be or represent Thirty Madison in order to solicit sensitive personal information or payment. Thirty Madison is not in any way associated with these entities or practices. The safety and integrity of those seeking employment with us is of the utmost importance and we actively work with our legal and security teams to prevent future incidents. 

Thirty Madison will never ask for sensitive information or payment when engaging with job seekers. The entities use many methods to perpetuate these scams, including but not limited to: participating in a text-only interview, using Thirty Madison’s trademarks on their correspondence, or providing you with a seemingly legitimate offer letter. If you suspect you are a victim of this scamming, we encourage you to cease further contact and report the crime to The Federal Trade Commission.

Top Skills

Airflow
BigQuery
Dagster
Dbt
Etl Frameworks
Fivetran
Hex
Hightouch
Looker
Prefect
Python
Redshift
Scala
Snowflake
SQL

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