Senior Data Engineer

TieTalent; Massachusetts; Remote; USD 100,000 - 130,000; Full time

Job summary

A leading company in health data exchange is seeking a Senior Data Engineer to join their high-performing team. The role focuses on creating and maintaining data pipelines, collaborating with teams to define data flows, and ensuring data architecture standards. Candidates should have a Bachelor's degree in Computer Science and extensive experience in ETL processes, SQL, and Python, with a commitment to diversity and inclusion.

Qualifications

• 5+ years of hands-on experience in building Data pipeline (ETL/ELT) in a cloud platform.
• 5+ years of experience with relational DBMS, SQL Server/T-SQL.
• 5+ years of experience with Python.

Responsibilities

• Create and maintain ELT/ETL processes for existing and new systems.
• Collaborate with development and business teams to understand requirements.
• Document, implement and maintain the data pipeline architecture.

Skills

Data pipeline

ETL

ELT

SQL

Python

AWS

Education

Bachelors in Computer Science or equivalent engineering degree

Job description

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About

Datavant is a data platform company and the world’s leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format.

Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world’s leading life sciences companies, government agencies, and those who deliver and pay for care.

By joining Datavant today, you’re stepping onto a high-performing, values-driven team. Together, we’re rising to the challenge of tackling some of healthcare’s most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare.

The Site Connect delivery data engineers are masters of data ETL. We create and maintain integrations for over 70+ EHR’s powering every patient use case you can think of. Our team is full of go getters that work in a matrixed 100% remote environment on agile teams that support customers from go live to support for the live of the integration.

You Will

1. Create and maintain ELT/ETL processes for existing and new systems.
2. Collaborate with development and business teams to understand requirements and define source system data flows.
3. Develop and maintain ETL/ELT specifications for data integration development.
4. Define and deliver consistent data modeling and data architecture standards, methodologies, guidelines and techniques.
5. Document, implement and maintain the data pipeline architecture and related business processes.
6. Serve as a source of knowledge of industry practices and processes.
7. Participate in the development of enterprise standards and guidelines for data model quality and accuracy.
8. Audit project level data model quality deliverables to ensure that practices and standards are met.
9. Analyze information and data requirements and understand effects of data inconsistencies.
10. Identify inefficiencies in current architecture and processes and communicate solutions in a manner that gets support from the teams involved.
11. Perform cost and sizing estimates for projects.
12. Collaborate with the project coordinator and the rest of the agile team to identify epics, stories and estimate effort.
13. Create and maintain data dictionary documents, table and data lineage models and produce artifacts to support project development and communicate project information to customers.

What You Will Bring To The Table

1. Bachelors in Computer Science or other engineering degree equivalent.
2. 5+ years of hands-on experience in building Data pipeline (ETL/ELT) in a cloud platform.
3. 5+ years of experience with relational DBMS, SQL Server/T-SQL, stored procedures, functions. Including experience optimizing database performance using T-SQL and PL/SQL for efficient data retrieval.
4. 5+ years of experience with Python.
5. Experience with using AWS.

Bonus Points If

1. Healthcare data experience 2+ years.
2. Knowledge of clinical systems (e.g. Cerner, Epic, Meditech, etc.) and standard Acute/Ambulatory workflows.
3. Preferred AWS Cloud Practitioner Or Above Certification.

We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status.