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HomeCompaniesPropelusSenior Data Analytics Engineer

Senior Data Analytics Engineer

Propelus · Remote - US · Remote · Active · Ashby

Job facts

FieldValue
CompanyPropelus
TitleSenior Data Analytics Engineer
Normalized title-
Department / teamTechnology / Technology, Data
LocationUnited States
Work modelRemote / Remote
Employment typeFull Time
Salary-
Statusactive
ATS providerAshby
Posted / first seen / 2026-06-04
Changed / last seen2026-06-04 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Propelus.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Ashby.Open
Provider filtered searchThe same provider as a filtered job collection.Open
Department jobsActive postings in Technology.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyPropelus
Source1db7c4aa-b9ea-43d3-9314-e5f136bd59c6
ATS providerAshby

Description

Propelus® simplifies workforce compliance management across healthcare. Our innovative technology and strategic partnerships empower millions of professionals, their employers, and regulators to work together, creating a connected and efficient healthcare ecosystem. As a trusted leader for over 20 years, Propelus has focused on bringing more good into the lives of the people and organizations serving healthcare. We deliver seamless compliance solutions to millions. We leverage market-leading technology and essential data to simplify complex operations, reduce risk, and champion a safer, healthier, and happier workforce. Job Summary: As an Analytics Engineer, you will play a crucial role in transforming raw data into actionable insights to support data-driven decision-making across the company. You will work independently on assigned projects, collaborating with data scientists, product managers, and engineers to build, maintain, and improve our data infrastructure and analytics pipelines. Your work will contribute directly to the efficiency and effectiveness of our compliance management technology, enabling us to better serve our clients and drive innovation. You will contribute to the delivery of key datasets and reports, ensuring data quality and accessibility. Key Responsibilities include, but are not limited to: Develop and maintain robust and scalable data pipelines to extract, transform, and load (ETL) data from various sources into our data warehouse. Design, build, and optimize data models to support analytical needs and reporting requirements. Collaborate with data scientists to implement and deploy machine learning models and analytical solutions. Monitor data quality and identify and resolve data integrity issues. Contribute to the development of data documentation and metadata management practices. Work with stakeholders to understand their data needs and translate them into technical requirements. Assist in the evaluation and implementation of new data technologies and tools. Participate in code reviews and contribute to the development of coding standards and best practices. Independently manage assigned tasks and projects, ensuring timely delivery and quality results. Proactively identify opportunities to improve data processes and systems. Qualifications & Desired Skills: Bachelor's degree in Computer Science, Data Science, Statistics, or a related field. 4+ years of experience in data engineering, analytics engineering, or a similar role. Proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL). Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) and related data warehousing services (e.g., Snowflake, Redshift, BigQuery). Familiarity with data testing frameworks. Experience with ETL tools and techniques (e.g., Apache Airflow, dbt). Solid understanding of data modeling principles and data warehouse architecture. Strong analytical and problem-solving skills. Experience with at least one programming language (e.g., Python, Java). Good communication and collaboration skills. Proficiency in using Git for version control and collaboration on codebase. Benefits and Perks for Propelus employees include but are not limited to: Awarded one of BuiltIn's 2025 Best Places to Work and honored as a Silver Stevie® Award Winner in the 2025 Stevie Awards For Great Employers . Professional development allowance to help you grow in the ways that mean the most to you. Flexibility for balancing work with the rest of life and ample PTO, including paid time off for volunteering, your birthday, and becoming a new parent. Check us out for yourself at our careers page or our Propelus culture Instagram accounts. For US Employees: 401K with company matching, as well as financial planning education and resources. Employees can choose from HSA, FSA, and traditional insurance options for medical, dental, and vision coverage for themselves and dependents. Lifestyle Spending Account (LSA): We support personal well-being by offering an annual lifestyle spending account that you can use for what matters most to you—whether it’s a gym membership, a meditation app, WFH equipment, or fresh produce delivered to your door. For LATAM Employees: Your health is our top priority! We cover 100% of your health insurance premiums. Our plans include national and international coverage, so you're protected no matter where you are. Propelus Flex Club: Our flexible benefits platform gives you monthly points to redeem on what you need most. Plus, you'll get access to exclusive discounts just for being part of our team. We've got you covered with a life insurance policy, paid 100% by the company. You can also add your beneficiaries at an exclusive, discounted rate. We are an equal opportunity employer and value diversity at Propelus. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Candidates from all backgrounds are encouraged to apply. Full-time positions are scheduled to work 40 hours per week, M-F unless required otherwise by projects. Part-time positions are scheduled to work a maximum of 30 hours per week. Equipment, benefits, and perks are not provided to part-time or temporary employees.

Full job record

Job ID17474e1a59be1be4fa615736b622d92d4e96894e
Org ID3c9b77be-f06b-419a-bc5d-f2fe68ba3e06
Source ID1db7c4aa-b9ea-43d3-9314-e5f136bd59c6
Board ID1db7c4aa-b9ea-43d3-9314-e5f136bd59c6
Providerashby
Provider Job Keyb9e6b5ee-5bb5-4585-a3be-c86f1b05ef2c
TitleSenior Data Analytics Engineer
Normalized Title
Statusactive
Activeyes
Location TextRemote - US
DepartmentTechnology
TeamTechnology, Data
Employment Typefull_time
Workplace Typeremote
Remote Policyremote
CountryUnited States
Region
City
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://jobs.ashbyhq.com/propelus/b9e6b5ee-5bb5-4585-a3be-c86f1b05ef2c
Apply URLhttps://jobs.ashbyhq.com/propelus/b9e6b5ee-5bb5-4585-a3be-c86f1b05ef2c/application
First Seen At2026-06-04 12:59:57Z
Last Seen At2026-06-06 19:33:51Z
Last Checked At2026-06-06 19:33:51Z
Last Changed At2026-06-04 12:59:57Z
Inactive At
Source Posted At
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=ashby/board=propelus/date=2026-06-06/2026-06-06T19-33-50-750Z-1be805dd1e9348e1471b69433012a7b3cdf76fa74ac77809ce088c2792b00f12.json
Event Fields
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}
Parsed Structured
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Extensions
{}
Native Structured
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  "apiVersion": "ashby-non-user-graphql-v1",
  "department": "Technology",
  "publishedAt": null,
  "workplaceType": "Remote",
  "employmentType": "FullTime",
  "secondaryLocations": []
}
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