Data Science Engineer
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Requirements
• Bachelor’s degree, or equivalent experience/knowledge. Strong candidates with non-traditional educational backgrounds are also considered acceptable. [NON_STATED] • Minimum of two years of experience developing data models, pipelines, and end-to-end analytical solutions using Python and SQL. [EXPERIENCE STATED: 2+ years in relevant field with specific skills mentioned.] • Strong grasp of data architecture and engineering practices including ETL/ELT workflows, orchestration tools (e.g., Airflow, dbt), and cloud-based storage solutions like S3 or Redshift [EDUCATION STATED: Skills implied by experience] • Experience building and operating production-grade data pipelines that support AI and LLM applications is required. [EXPERIENCE STATED: Relevant skills mentioned in the job responsibilities.] • Ability to design scalable, performant, cost-efficient systems for compute-intensive workloads with a focus on performance and efficiency rather than just speed of execution alone [SKILLS NEEDED] • Entrepreneurial mindset: prioritizing tasks based on evolving business needs and problem solving independently. [MUST_HAVES] • Comfortable working remotely in a collaborative, technical team environment with flexible hours as the job is fully remote. [NON_STATED] • Bonus points for experience related to revenue cycle, healthcare payments and/or medical billing are considered favorable but not mandatory. [BONUS POINTS STATED: Experience in this area can enhance the candidate's application.]
Responsibilities
• Work cross-functionally with Product and subject matter experts to conceptualize, prototype, and build data solutions • Connect disparate datasets (e.g. claims, contract rates, demographics data) to empower internal and external stakeholders • Build and maintain data engineering systems that support AI use cases, including scalable ingestion pipelines, feature generation, and downstream products • Contribute to building, maintaining, and testing data pipelines • Draft internal and external technical documentation • Seek and prioritize technical and product feedback from internal customers • Iterate quickly with an eye towards value
Benefits
• Data Science Engineer IIStarting Salary Range $140K – $155K • Offers Equity • Senior Data Science Engineer IStarting Salary Range $170K – $185K • Offers Equity • Our salary ranges are determined by role and level, and reflect the minimum and maximum salary across all US locations (they are location agnostic). Within the range, individual pay is determined by factors including job-related skills, experience, and relevant education or training. We will talk about compensation in our first conversation and be transparent throughout the process about which level we think is the best match for you in our organization. Please note that the salary range does not reflect total compensation, which includes base salary, benefits, and company stock options. • Upload your resume here to autofill key application fields. • Drop your resume here! • Parsing your resume. Autofilling key fields... • Please note: to ensure that candidates select the most relevant jobs for their skills, we have set up limits to the number of times candidates can apply. The following limits apply to all roles at Turquoise: • Candidates may not apply more than 3 times in any 60 days for any job • Candidates may not re-apply to the same role within 90 days if not presented with an offer • Our roles are fully remote within the United States. • or drag and drop here • Decline to self-identify • Hispanic or Latino - A person of Cuban, Mexican, Puerto Rican, South or Central American, or other Spanish culture or origin regardless of race. • Hispanic or Latino • White (Not Hispanic or Latino) - A person having origins in any of the original peoples of Europe, the Middle East, or North Africa. • White • Black or African American (Not Hispanic or Latino) - A person having origins in any of the black racial groups of Africa. • Black or African American • Native Hawaiian or Other Pacific Islander (Not Hispanic or Latino) - A person having origins in any of the peoples of Hawaii, Guam, Samoa, or other Pacific Islands. • Native Hawaiian or Other Pacific Islander • Asian (Not Hispanic or Latino) - A person having origins in any of the original peoples of the Far East, Southeast Asia, or the Indian Subcontinent, including, for example, Cambodia, China, India, Japan, Korea, Malaysia, Pakistan, the Philippine Islands, Thailand, and Vietnam. • Asian • American Indian or Alaska Native (Not Hispanic or Latino) - A person having origins in any of the original peoples of North and South America (including Central America), and who maintain tribal affiliation or community attachment. • American Indian or Alaska Native • Two or More Races (Not Hispanic or Latino) - All persons who identify with more than one of the above five races. • Two or More Races • Hispanic or Latino • White (Not Hispanic or Latino) • Black or African American (Not Hispanic or Latino) • Native Hawaiian or Other Pacific Islander (Not Hispanic or Latino) • Asian (Not Hispanic or Latino) • American Indian or Alaska Native (Not Hispanic or Latino) • Two or More Races (Not Hispanic or Latino) • I identify as one or more of the classifications of protected veteran listed above • I am not a protected veteran