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Remote Python Data Analysis Jobs in Maple Shade, NJ

Machine Learning Engineer 3-7881

Philadelphia, PA ยท On-site +1

$115.50K - $138.70K/yr

... data access visualization using Looker, Grafana, and API with Python; perform code optimization ... Position is eligible for 100% remote work. REQUIREMENTS:Master's degree, or foreign equivalent, in ...

Manager, FP&A - Remote

Philadelphia, PA ยท On-site +1

$106.50K - $139.80K/yr

... data analysis to generate data-driven, value-added analysis and recommendations. * Have proven and effective business partnering skills with the ability to work with senior-level business or ...

Senior Backend Engineer

Newtown Square, PA ยท Remote

$115K - $165K/yr

Remote Department: Engineering Reports To: Director of Development About Alivia Analytics Alivia ... Collaborate with cross-functional teams including frontend engineers, data engineers, product ...

Senior Backend Engineer

Newtown Square, PA ยท Remote

$115K - $165K/yr

Remote Department: Engineering Reports To: Director of Development About Alivia Analytics Alivia ... Collaborate with cross-functional teams including frontend engineers, data engineers, product ...

Data ScientistThe Data Scientist will work closely with underwriting, product, operations, and ... Strong proficiency in Python and/or R for statistical analysis and model development. * Advanced ...

The work will involve business analysis, systems analysis, data analysis, SQL, Excel, and close ... The role is expected to be remote, but must be able to work EST hours. The Role You'll Play The ...

FP&A Manager

Philadelphia, PA ยท Remote

$40 - $60/hr

... remote work and the freedom to set your own schedule. This role is designed to fit a variety of ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

Pricing Analyst III - Remote

Philadelphia, PA ยท On-site +1

$80K - $120K/yr

Develop and enhance pricing analytics utilizing SAS, Python, Excel and Tableau related to projected ... analysis and provide conclusions and recommendations * Experience manipulating large data sets

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How much do remote python data analysis jobs pay per hour?

As of May 31, 2026, the average hourly pay for remote python data analysis in Maple Shade, NJ is $58.35, according to ZipRecruiter salary data. Most workers in this role earn between $48.08 and $66.25 per hour, depending on experience, location, and employer.
What are popular job titles related to Remote Python Data Analysis jobs in Maple Shade, NJ? For Remote Python Data Analysis jobs in Maple Shade, NJ, the most frequently searched job titles are:
What cities near Maple Shade, NJ are hiring for Remote Python Data Analysis jobs? Cities near Maple Shade, NJ with the most Remote Python Data Analysis job openings:
Infographic showing various Remote Python Data Analysis job openings in Maple Shade, NJ as of May 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, 1% Temporary, and 3% Contract. Highlights an 92% Physical, 4% Hybrid, and 4% Remote job distribution, with an average salary of $121,358 per year, or $58.3 per hour.

Senior Data Engineer

Bridgeway Benefit Technologies

Maple Shade, NJ โ€ข Remote

$105.50K - $143.30K/yr

Full-time

Posted 13 days ago


Job description

Bridgeway is seeking a Senior Data Engineer to design, develop, and maintain our data warehouse infrastructure. This role involves working closely with analysts, engineers, and other stakeholders to shape our data architecture, ensuring secure and efficient data pipelines, and enabling advanced analytics across the organization. The ideal candidate will have a strong background in data engineering, data warehousing, and ELT processes, along with a passion for optimizing data systems.

This is a remote position, with preference given to East Coast candidates.

Key Responsibilities:

  • Design, develop, and maintain a scalable lakehouse architecture, including a medallion (bronze/silver/gold) data model optimized for analytics and AI/ML consumption.
  • Design, implement, and operate ELT pipelines, including workflow orchestration, scheduling, and monitoring, to ensure reliable and scalable execution.
  • Establish data quality, testing, and observability practices, and proactively monitor and resolve data and automation issues to ensure platform reliability and trust.
  • Ensure data security and compliance, including role-based access controls for security, encryption, masking, and governance best practices to ensure compliant handling of sensitive information.
  • Optimize performance of data workflows and storage for cost efficiency and speed.
  • Partner with engineers, analysts, and stakeholders to meet data needs; balance cost, performance, simplicity, and time-to-value while mentoring teams and documenting standards.
  • Provide technical leadership and mentorship to team members โ€“ guiding best practices, skill development, and collaboration cross-functionally.
  • Enable AI/ML use cases through well-structured data models, feature availability, and platform integrations using tools such as Databricks Vector Search and Model Serving.
  • Develop and maintain data pipelines using version control and CI/CD best practices in a collaborative engineering environment.
  • Collaborate within an Agile-Scrum framework and develop comprehensive technical design documentation to ensure efficient and successful delivery.
  • Serve as a trusted expert on organizational data domains, processes, and best practices.

Requirements:

  • 5+ years of hands-on data engineering experience required
  • 3+ years of experience building and operating data pipelines on a modern lakehouse platform (e.g., Databricks โ€“ Unity Catalog, Delta Live Tables, Asset Bundles), including data modeling, governance, and CI/CD deployment patterns
  • 3+ years of experience with analytical SQL (ANSI SQL/T-SQL/Spark SQL) and Python for data engineering, including pipeline construction, transformation logic, and automation required
  • Strong communication skills with the ability to collaborate and influence across engineering, analytics, and business stakeholders required
  • Streaming and ingestion tools, such as Kafka, Kinesis, Event Hubs, Debezium, or Fivetran preferred
  • DAX, LookML, dbt; Airflow/Dagster/Prefect, Terraform; Azure DevOps; Power BI/Looker/Tableau; GitHub CoPilot knowledge is a plus
  • Bachelor's degree in Computer Science, Information Technology, or a related field. Master's degree preferred