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How much do remote python sql developer jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for remote python sql developer in Waterbury, CT is $59.91, according to ZipRecruiter salary data. Most workers in this role earn between $49.38 and $68.03 per hour, depending on experience, location, and employer.

What is the difference between Remote Python Sql Developer vs Data Analyst?

AspectRemote Python Sql DeveloperData Analyst
Required SkillsPython, SQL, data manipulation, scriptingExcel, SQL, data visualization, statistical analysis
Work EnvironmentRemote, tech-focused teams, software development projectsRemote or on-site, business intelligence, reporting teams
Common EmployersTech companies, startups, data-driven organizationsFinance, marketing, healthcare, consulting firms

Remote Python Sql Developers focus on building data pipelines, automating data processes, and developing software solutions using Python and SQL. Data Analysts interpret data, create reports, and provide insights to support business decisions. While both roles require SQL skills, Python expertise is more central for developers, whereas analysts emphasize statistical and visualization tools. The roles often overlap in data handling but differ in technical depth and project scope.

What are the most commonly searched types of Python Sql Developer jobs in Waterbury, CT? The most popular types of Python Sql Developer jobs in Waterbury, CT are:
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Remote Python Sql Developer jobs near you

Senior RWE/RWA Programmer - Remote

Penfield Search Partners

Fairfield, CT • Remote

Other

Re-posted 22 days ago

Job description

Job Description Contact: Neisha Camacho/Terra Parsons - teamnt@penfieldsearch.com No 3rd party candidates Brief Description: The Senior Real-World Analyst (RWA) will be responsible for conducting analyses for Real-World Evidence (RWE) studies utilizing administrative claims, electronic medical records (EMR), and registry data. The successful candidate will possess a deep understanding about the use of Real-World Data (RWD), exceptional programming and analytical skills and a proven track record in delivering high-quality RWE analytic projects. The candidate will also ensure the timeliness and delivery of scientifically valid research

Essential Functions Effectively designs and codes R and SQL programs for assigned project(s), consistently meeting objectives of the project. Clean and validate RWD for consistency and reliability Implement programming as specified from RWE protocol using a variety of RWD from multiple sources, including Optum and Flatiron Leverage advanced statistical and epidemiological methodologies to deliver robust and reliable analyses Create or review and approve programming plans at study and project level. Displays highly advanced knowledge regarding program, epidemiology methodologies implementation and system development life cycle concepts.

Maintain clear documentation of analytical programming and operational definitions to support reproducible and auditable RWE studies Develop dashboards, reports, and presentations to communicate findings Work collaboratively with members of study teams to meet study and recurring report timelines Minimum Requirements MS in data science, epidemiology, statistics, public health or related discipline At least 7 years of RWD analysis experience using healthcare claims/EMR/registry databases within the biopharmaceutical industry or provider/payer organizations Fluence in programming software SQL and R is required. Knowledge of SAS and/or Python would be considered an advantage Optum and Flatiron experience are required Familiarity with US and global health care coding system (e.g. ICD, CPT, HCPCS, LOINC, MedDRA) and delivery system (e.g

payers and reimbursement models) Experience conducting routine and advanced statistical analyses for RWE generation, leveraging time-to-event, cross-sectional, and longitudinal data Experience with big data analytical platforms Deep understanding of observational study analysis Able to work in a fast-paced, flexible, team-oriented environment

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