Transcarent
Data Engineer I
Job Summary
This role involves designing, maintaining, and optimizing data pipelines and large datasets to support the company's data infrastructure needs. The candidate should have 2–3 years of data-engineering experience, with proficiency in Python, SQL, and tools like dbt and Databricks. Collaboration with cross-functional teams and a strong understanding of data warehousing and ETL/ELT concepts are essential. The position offers remote work options and a comprehensive benefits package focused on health and wellness.
Required Skills
Benefits
Job Description
Who we are
Transcarent and Accolade have come together to create the One Place for Health and Care, the leading personalized health and care experience that delivers unmatched choice, quality, and outcomes. Transcarent’s AI-powered WayFinding, comprehensive Care Experiences – Cancer Care, Surgery Care, Weight – and Pharmacy Benefits offerings combined with Accolade’s health advocacy, expert medical opinion, and primary care, allows us to meet people wherever they are on their health and care journey. Together, more than 20 million people have access to the combined company’s offerings. Employers, health plans, and leading point solutions rely on us to provide trusted information, increase access, and deliver care.
We are looking for teammates to join us in building our company, culture, and Member experience who:
- Put people first, and make decisions with the Member’s best interests in mind
- Are active learners, constantly looking to improve and grow
- Are driven by our mission to measurably improve health and care each day
- Bring the energy needed to transform health and care, and move and adapt rapidly
- Are laser focused on delivering results for Members, and proactively problem solving to get there
We are unable to provide sponsorship for this role. Candidates who require sponsorship now or in the future will not be considered.
In this role, you will
- Champion data accessibility and empower colleagues to use data effectively.
- Design and maintain data pipelines with high observability and reliability.
- Build and maintain large, complex data sets that meet functional and non‑functional requirements.
- Identify and implement process improvements such as automating manual tasks, optimizing data delivery and redesigning infrastructure for scalability.
- Construct extraction, transformation and loading infrastructure in SQL, Python, pyspark, and dbt.
- Collaborate with executive, product, clinical, data and design teams to resolve data‑related technical issues and support their data infrastructure needs.
- Ensure that pipelines are scalable, efficient and secure.
What we're looking for
- 2–3 years of professional data‑engineering experience and a graduate degree in computer science, statistics, informatics, information systems or a related quantitative field.
- Advanced proficiency in Python and SQL; experience using dbt to build data pipelines.
- Expertise with relational, NoSQL, and cloud database technologies.
- Hands‑on experience with Databricks (Delta Lake, Spark SQL and workflows).
- Strong knowledge of data‑warehousing concepts and ETL/ELT design.
- Experience performing root‑cause analysis on internal and external datasets to answer business questions and identify improvement opportunities.
- Proven history of manipulating and extracting value from large, disconnected datasets.
- Basic understanding of performance tuning and optimization for data systems.
- Experience working with cross‑functional teams in a dynamic environment.
- Healthcare‑domain experience is a plus.
- Self‑motivated professional who takes ownership of assigned tasks and seeks guidance when necessary.
Tech Stack
- The following is a list of software/tools that would be nice to have but not required:
- Experience with building a Data-as-a-service platform
- Experience with building APIs
- Experience with cloud-based data warehouse: Snowflake
- Experience with relational SQL and NoSQL databases
- Experience with object-oriented/object function scripting languages: Golang, Python, Java, C++, Scala, etc.
- Experience with big data tools: Spark, Kafka, etc.
- Experience with data pipeline and workflow management tools like Airflow
- Experience with AWS cloud services: EC2, EMR, RDS, Redshift
- Experience with stream-processing systems: Storm, Spark-Streaming, etc.
Total Rewards
Individual compensation packages are based on a few different factors unique to each candidate, including primary work location and an evaluation of a candidate’s skills, experience, market demands, and internal equity.
Salary is just one component of Transcarent's total package. All regular employees are also eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock options.
Our benefits and perks programs include, but are not limited to:
- Competitive medical, dental, and vision coverage
- Competitive 401(k) Plan with a generous company match
- Flexible Time Off/Paid Time Off, 12 paid holidays
- Protection Plans including Life Insurance, Disability Insurance, and Supplemental Insurance
- Mental Health and Wellness benefits
Location
You must be authorized to work in the United States. Depending on the position we may have a preference to a specific location, but are generally open to remote work anywhere in the US.
Transcarent is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you are a person with a disability and require assistance during the application process, please don’t hesitate to reach out!
Research shows that candidates from underrepresented backgrounds often don’t apply unless they meet 100% of the job criteria. While we have worked to consolidate the minimum qualifications for each role, we aren’t looking for someone who checks each box on a page; we’re looking for active learners and people who care about disrupting the current health and care with their unique experiences.
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