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Flexible Full Stack Data Scientist Jobs (NOW HIRING)

Hearst

Full-Stack Data Engineer

Troy, MI · On-site

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group of Hearst, is actively seeking a Full-Stack Data Engineer. Ideally, a hands-on data engineer who ...

Hearst Newspapers

Full-Stack Data Engineer

Troy, MI

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group of Hearst, is actively seeking a Full-Stack Data Engineer. Ideally, a hands-on data engineer who ...

Ford Motor Company

Full Stack Data Engineer

Dearborn, MI · On-site

$138K - $178K/yr

... Science or a related field and 5 years of progressive, post-baccalaureate experience in the job ... Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care ...

rockITdata

Full Stack Data Engineer

Arlington, VA · Remote

We are seeking a talented and experienced Full Stack Data Engineer to join our team. The ideal ... Collaborate with cross-functional teams including data scientists, analysts, and business ...

Ford Motor Company

Full Stack Data Engineer

Dearborn, MI · On-site +1

$99K - $166K/yr

You'll Have... * Bachelor's degree in Computer Science, Software Engineering, Data Science ... Immediate medical, dental, vision and prescription drug coverage Flexible family care days, paid ...

Capgemini

Data Scientist

New York, NY · On-site

As a full-stack data scientist, you will turn complex operational signals into insight-and translate that insight into lightweight products, prototypes, and tools that reshape service delivery at ...

Snowflake

Senior Data Scientist - Product

Menlo Park, CA · On-site

$168K - $220K/yr

The Product Data Science team is looking for a Full-stack Senior Data Scientist to come aboard and ... The ability to thrive in a dynamic environment, being flexible and willing to jump in and do ...

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Flexible Full Stack Data Scientist information

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$243.5K

How much do flexible full stack data scientist jobs pay per year?

As of Jun 12, 2026, the average yearly pay for flexible full stack data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is the difference between Flexible Full Stack Data Scientist vs Data Engineer?

AspectFlexible Full Stack Data ScientistData Engineer
Primary FocusData analysis, modeling, and insightsData pipeline development and infrastructure
SkillsStatistics, machine learning, programming (Python, R)ETL, database management, cloud platforms
CredentialsDegree in Data Science, Statistics, or related fieldsDegree in Computer Science, Software Engineering
Work EnvironmentCross-functional teams, research-focusedData infrastructure teams, IT departments

Flexible Full Stack Data Scientists focus on analyzing data and building models to generate insights, while Data Engineers develop and maintain the data infrastructure and pipelines. Both roles often collaborate but serve different core functions within data-driven organizations.

What cities are hiring for Flexible Full Stack Data Scientist jobs? Cities with the most Flexible Full Stack Data Scientist job openings:
What are the most commonly searched types of Full Stack Data Scientist jobs? The most popular types of Full Stack Data Scientist jobs are:
What states have the most Flexible Full Stack Data Scientist jobs? States with the most job openings for Flexible Full Stack Data Scientist jobs include:
Flexible Full Stack Data Scientist jobs near you
Full Stack Sr. Data Engineer - Remote - USA

Full Stack Sr. Data Engineer - Remote - USA

Lorven Technologies

Remote

Full-time

Posted 19 days ago

Job description

Need 15 years of profile
Role: Full Stack Sr. Data Engineer
Decision Analytics
Location: Remote - USA
Project Duration: 6 to 9 Months of contract
Job description:
We are seeking an experienced and visionary Senior Full-Stack Data Engineer to lead the architecture, development, and optimization of a next-generation data platform.
This is a critical role for an individual with over 15 years of deep data engineering expertise, capable of driving technical direction, mentoring team members, and delivering high-impact solutions in a fast-paced project environment..
Key Responsibilities:
  • Platform Strategy & Leadership
    • Technical Direction: Define and champion the architectural roadmap and best practices for our end-to-end data pipelines, ensuring scalability, reliability, and security across the platform.
    • Team Mentorship & Project Velocity: Act as a primary technical mentor, guiding a team of engineers, conducting code reviews, and aggressively driving the project timeline to ensure rapid delivery of data products.
    • Stakeholder Collaboration: Partner with Data Scientists, Analysts, and business stakeholders to translate complex requirements into robust, production-ready data solutions.
    • Collaboration with Data Scientists and ML Engineers: Data Accessibility, Support for Model Development, Data Quality Assurance
  • Data Pipeline Development & Management
    • Ingestion & Transformation: Design, build, and optimize high-volume data ingestion and transformation jobs using tools like dbt Core, AWS Glue, or Flexter, ensuring data quality and integrity.
    • Workflow Orchestration: Develop and maintain sophisticated data pipelines using orchestrators such as Dagster or Talend, focusing on modularity and reusability.
    • Streaming & Real-time Integration: Implement and manage real-time data flows utilizing Confluent platforms or native AWS streaming services (e.g., Kinesis) for immediate data availability.
    • Data Security and Privacy: Data Anonymization, Compliance with Regulations
    • Be well versed with DataOps and DevOps fundamentals
  • Assist and drive the Data Ecosystem Management & Monitoring
    • Open Table Formats & Management: Implement and maintain the Iceberg open table format, utilizing tools like Upsolver (Talend Open Lakehouse) for efficient schema evolution and data management.
    • Compute Engine Optimization: Optimize query performance and cost efficiency across our primary compute engines: Snowflake, Amazon Redshift, and AWS Athena.
    • Observability & Monitoring: Integrate comprehensive monitoring and observability into all pipelines using Splunk to ensure high availability, rapidly identify bottlenecks, and troubleshoot production issues

Candidate Profile:
  • 15+ Years of hands-on, progressive experience in Data Engineering, Data Architecture, or a closely related Full-Stack Data role
  • Deep conceptual understanding of core data engineering principles, including data modeling (e.g., Dimensional, Data Vault), ETL/ELT patterns, and metadata management
  • Proven track record of building and managing petabyte-scale data infrastructure in a cloud-native environment
  • Insurance industry experience preferred but not mandatory
  • Tools:
    • Cloud Environment: AWS (S3, IAM, VPC, etc.)
    • Experience with Talend, dbt Core, Iceberg, AWS Glue Catalog, Snowflake, Redshift, Athena, Splunk, AWS streaming services, Git
    • Strong SQL, Pyspark and Python
Lorven technologies logo

About Lorven technologies

Sourced by ZipRecruiter

Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

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