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Remote Python Sql Jobs in Philadelphia, PA (NOW HIRING)

Senior Data Engineer - Analytics

Bristol, PA ยท Remote

$103.70K - $140.90K/yr

Senior Data Engineer - Analytics Senior Data Engineer, Analytics Location: 100% Remote Position ... Author modular, tested SQL models and Python-based data transformations to support analytics ...

This role combines knowledge of SQL, Alteryx, and Excel with business-facing analytics, including ... a remote role within the United States. About the role Critical parts of the job/Key ...

Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases. * Practical experience building for live, non-mocked environments and ...

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Remote Python Sql information

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$13

$59

$87

How much do remote python sql jobs pay per hour?

As of May 30, 2026, the average hourly pay for remote python sql in Philadelphia, PA is $59.15, according to ZipRecruiter salary data. Most workers in this role earn between $48.75 and $67.21 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Python SQL Developer, and why are they important?

To thrive as a Remote Python SQL Developer, you need strong proficiency in Python programming and SQL database management, typically backed by a degree in computer science or related experience. Familiarity with tools like PostgreSQL, MySQL, version control systems (e.g., Git), and cloud platforms is commonly required, along with any relevant certifications. Excellent problem-solving, self-motivation, and effective remote communication skills set standout professionals apart in this role. These skills are crucial for efficiently building and maintaining robust data-driven applications while collaborating seamlessly in distributed teams.

What are some common challenges faced by Remote Python & SQL Developers, and how can they be addressed?

Remote Python & SQL Developers often face challenges such as effective communication with distributed teams, managing overlapping project priorities, and ensuring data security when accessing databases remotely. To address these, it's crucial to establish clear communication routines (like daily stand-ups), use collaborative tools (such as Slack or Jira), and strictly follow company protocols for secure database access. Proactively seeking feedback and documenting code also help maintain project alignment and code quality within a remote environment.

What is a Remote Python SQL job?

A Remote Python SQL job involves working with databases and backend systems using the Python programming language and SQL (Structured Query Language) while working from a location outside of a traditional office. Professionals in this role typically write code to query, manipulate, and analyze data stored in databases, automate data workflows, and build data-driven applications. Remote arrangements allow these tasks to be completed from anywhere with a stable internet connection, offering flexibility while still requiring strong technical and communication skills.

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

AspectRemote Python SqlRemote Data Analyst
Required SkillsPython, SQL, data manipulationData visualization, SQL, statistical analysis
Work EnvironmentRemote, programming-focusedRemote, analysis and reporting
Industry UsageTech, finance, data-driven companiesBusiness, marketing, finance
CertificationsPython, SQL certificationsData analysis, Excel, Tableau certifications

Remote Python Sql roles focus on programming, data extraction, and database management, while Remote Data Analyst positions emphasize interpreting data, creating reports, and visualizations. Both roles often require SQL skills and can be found in similar industries, but they serve different functions within data teams.

What are the most commonly searched types of Python Sql jobs in Philadelphia, PA? The most popular types of Python Sql jobs in Philadelphia, PA are:
What are popular job titles related to Remote Python Sql jobs in Philadelphia, PA? For Remote Python Sql jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Remote Python Sql jobs in Philadelphia, PA look for? The top searched job categories for Remote Python Sql jobs in Philadelphia, PA are:
What cities near Philadelphia, PA are hiring for Remote Python Sql jobs? Cities near Philadelphia, PA with the most Remote Python Sql job openings:
Infographic showing various Remote Python Sql job openings in Philadelphia, PA as of May 2026, with employment types broken down into 57% Full Time, 39% Part Time, and 4% Contract. Highlights an 77% Physical, 4% Hybrid, and 19% Remote job distribution, with an average salary of $123,040 per year, or $59.2 per hour.
Senior Data Engineer - Analytics

Senior Data Engineer - Analytics

CyberCoders

Bristol, PA โ€ข Remote

$103.70K - $140.90K/yr

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Senior Data Engineer - Analytics

Senior Data Engineer, Analytics

Location: 100% Remote
Position Overview
We are seeking an experienced Analytics Engineer to join our data team and build reliable, scalable analytics infrastructure that turns data into actionable insights. The role is focused on designing and implementing data models, transformation pipelines, and APIs that power dashboards, ML features, and downstream systems. You will work closely with data scientists, analysts, and engineers to standardize metrics, improve data quality, and enable self-service analytics across the organization.
Key Responsibilities

  • Design, develop, and maintain robust ELT/ETL data transformation pipelines using dbt Core and SQL targeting BigQuery.
  • Author modular, tested SQL models and Python-based data transformations to support analytics, reporting, and ML feature generation.
  • Implement data quality checks, lineage, and observability to ensure reliable analytics outputs and SLAs.
  • Collaborate with product, analytics, and ML teams to define metric definitions and translate business requirements into performant data models.
  • Build and maintain RESTful APIs and integrations to surface curated datasets and features for internal and external consumers; implement and consume LLM APIs where applicable.
  • Deploy and monitor data services and lightweight API endpoints on GCP, leveraging Cloud Run and other serverless infrastructure when appropriate.
  • Optimize performance and cost for BigQuery workloads through partitioning, clustering, and query tuning.
  • Document data models, transformation logic, and operational runbooks; mentor teammates on best practices for dbt, SQL, and analytics engineering.

Qualifications

  • 3+ years of experience in analytics engineering, data engineering, or a related role building analytics pipelines and data models.
  • Experience working with Healthcare Claims Data
  • Expert proficiency in SQL and strong experience with Python for data transformation, orchestration, or testing.
  • Proven experience using dbt Core to build modular, tested analytics transformations and manage deployments.
  • Solid experience with Google Cloud Platform, especially BigQuery, including query optimization and cost management.
  • Experience building and integrating APIs; familiarity with LLM APIs and integrating large language model outputs into analytics or product workflows.
  • Strong understanding of data modeling concepts, ETL/ELT patterns, data quality practices, and observability.
  • Excellent communication skills and ability to collaborate across cross-functional teams to operationalize analytics.
  • Nice to have: hands-on experience with Cloud Run, Vertex AI, and FastAPI for serving data or ML features; domain knowledge of healthcare claims and related data models.
- For this position, you must be currently authorized to work in the United States without the need for sponsorship for a non-immigrant visa. This job was first posted by CyberCoders on 04/30/2026 and applications will be accepted on an ongoing basis until the position is filled or closed.Everforth CyberCoders is proud to be an Equal Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, status as a crime victim, disability, protected veteran status, or any other characteristic protected by law. Our hiring process includes AI screening for keywords and minimum qualifications. Recruiters review all results.ย  Everforth CyberCoders will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and local law, including but not limited to the Los Angeles County Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, and the California Fair Chance Act. Everforth CyberCoders is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. Individuals needing special assistance or an accommodation while seeking employment can contact a member of our Human Resources team atย Benefits@CyberCoders.comย to make arrangements.

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About CyberCoders

Sourced by ZipRecruiter

CyberCoders is a cutting-edge recruiting firm headquartered in Irvine, CA, US. The company operates within the technology industry, specializing in connecting talented professionals with suitable positions across a variety of sectors. Offering a broad spectrum of services, CyberCoders uses innovative, data-driven strategies and a proprietary matching technology to pair candidates with suitable job openings. Since its inception in 1999, CyberCoders has distinguished itself as an industry trailblazer. The company's mission is to deliver effective talent solutions, thus enabling both businesses and workers to achieve their goals.

Industry

Technology, communication and media

Company size

51 - 200 Employees

Headquarters location

Irvine, CA, US

Year founded

1999

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