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Flex Schedule Remote Data Engineer Jobs (NOW HIRING)

SumerSports LLC

Data Engineer

$160K - $190K/yr

We are a collection of executives, engineers, data scientists, and visionaries from NFL clubs ... Remote working environment * A flexible, unlimited time off policy * Generous paid holiday schedule ...

K1X

Data Engineer

Chicago, IL · On-site +1

$118K - $141K/yr

About The Role We are seeking a Data Engineer to design, build, and maintain the data pipelines and ... Fully Remote Opportunity * Healthcare Benefits and 401K * Growing Startup Culture

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$145K/yr

This is a remote position. Duties * Support production systems and help triage issues during live ... Department Data Engineering Locations San Francisco, CA - Remote Remote status Fully Remote

Aimpoint Digital

Senior Data Engineer 2026 - US

Atlanta, GA · On-site +1

$101K - $138K/yr

Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. We work alongside the most innovative software providers in the data engineering space to solve our clients' toughest ...

Jobgether

$88K - $106K/yr

This is a remote opportunity for an experienced data engineer to play a key role in a large-scale digital transformation initiative. You will design, develop, and maintain scalable data solutions ...

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$160K/yr

This is a remote position. Duties * Support production systems and help triage issues during live ... Department Data Engineering Locations San Francisco, CA - Remote Remote status Fully Remote

Spruce Infotech

Data Engineer

$117K - $140K/yr

Data Engineer Client : Infosys/First citizens bank We are hiring Data Engineer to lead the design ... Remote/ Infosys hub location if client asked (Pheonix, Arizona - Indianapolis, Indiana - Raleigh ...

Packsize

Data Engineer

Salt Lake City, UT · On-site +1

$110K - $133K/yr

Data Engineer About the Role: We are seeking a Data Engineer to design, build, and optimize data ... Hybrid or onsite work environment preferred, with remote consideration based on candidate ...

Booz Allen Hamilton, Inc.

Data Engineer

Fayetteville, NC · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0236980 Location: Fayetteville,NC,US Share job via: Share Data Engineer The Opportunity : Ever-expanding technology like IoT, machine learning, and artificial ...

Trupanion

Data Engineer

Seattle, WA · On-site +1

$130K - $150K/yr

The Data Engineer is responsible for designing, building, and optimizing reliable, scalable, and ... Seattle candidates will have a hybrid remote/in-office schedule where you will work from our casual ...

Tebra

Data Engineer

OR · On-site +1

$114K - $137K/yr

About the Role As a Data Engineer focused on AI/ML , you'll build, maintain, and optimize the data ... Remote

Trupanion

Data Engineer

Seattle, WA · On-site +1

$130K - $150K/yr

The Data Engineer is responsible for designing, building, and optimizing reliable, scalable, and ... Seattle candidates will have a hybrid remote/in-office schedule where you will work from our casual ...

XTG

Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

The Data Engineer role is responsible for designing, building, and maintaining scalable data ... This opportunity is remote with the ideal candidate being located in DFW, Phoenix, Atlanta or ...

XTG

Data Engineer

Atlanta, GA · On-site +1

$110K - $132K/yr

The Data Engineer role is responsible for designing, building, and maintaining scalable data ... This opportunity is remote with the ideal candidate being located in DFW, Phoenix, Atlanta or ...

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Flex Schedule Remote Data Engineer information

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$44.5K

$129.7K

$177.5K

How much do flex schedule remote data engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for flex schedule remote data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is a flex schedule remote data engineer?

A Flex Schedule Remote Data Engineer is a professional who designs, builds, and maintains data infrastructure and systems while working remotely with flexible working hours. Unlike traditional roles that require set office hours, this position allows employees to choose when they work, as long as they meet deadlines and project requirements. The role typically involves tasks such as data pipeline development, database management, and collaboration with other teams, all performed from a remote location.

How does a flex schedule impact collaboration and communication for remote data engineers?

Working as a remote Data Engineer with a flexible schedule allows you to tailor your working hours, but it also means that proactive communication is essential. You'll often collaborate with team members in different time zones, so clear documentation and regular updates via project management tools become crucial. Many teams address these challenges by scheduling core overlapping hours for meetings and using asynchronous communication channels like Slack or email. This setup supports both individual productivity and effective teamwork, but requires strong self-management and responsiveness to ensure projects remain on track.

What are the key skills and qualifications needed to thrive as a flex schedule remote data engineer, and why are they important?

To thrive as a Flex Schedule Remote Data Engineer, you need a strong background in computer science, experience with data modeling, ETL processes, and proficiency in programming languages like Python or SQL. Familiarity with cloud platforms (e.g., AWS, Azure, GCP), big data tools (such as Spark or Hadoop), and certifications in cloud or data engineering are highly valued. Excellent time management, self-motivation, and communication skills are crucial for effective remote collaboration and meeting project deadlines. These competencies ensure you can independently build robust data pipelines and collaborate seamlessly across distributed teams.
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What cities are hiring for Flex Schedule Remote Data Engineer jobs?

Cities with the most Flex Schedule Remote Data Engineer job openings:

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Flex Schedule Remote Data Engineer jobs near you
Infographic showing various Flex Schedule Remote Data Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 64% Full Time, 32% Part Time, and 3% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer

SumerSports LLC

Remote

$160K - $190K/yr

Full-time

Medical, Retirement

Re-posted 14 days ago

Job description

SumerSports is a leading football intelligence technology company that specializes in providing an innovative suite of products for football fans and NFL clubs. We are a collection of executives, engineers, data scientists, and visionaries from NFL clubs, technology startups, finance, and academia.
Our data-driven platform empowers teams with insights and tools to make informed decisions within salary cap constraints. The platform also serves the NCAA, offering insights around the transfer portal and more.
What sets us apart is our unique blend of big tech talent, data scientists, and former NFL personnel, who have a combined 600+ years of NFL experience. Our domain knowledge is augmented by AI and machine learning technologies to create a unique view into many aspects of Football.
Position Summary
Our data engineering team is the foundation of this system, ensuring data is accurate, fast, and always available for our models and AI applications.
As a Data Engineer, you'll design, build, and maintain the data pipelines that power our deep learning, video and LLM systems. You'll work across ingestion, transformation, and orchestration layers - from real-time feeds to analytics-ready datasets. Your mission is to make data reliable, discoverable, and scalable for use by model training, analytics, and AI-driven products across multiple sports. You'll collaborate closely with our MLOps, and Sports Data teams to ensure seamless integration between data and AI.
Responsibilities
  • Build and operate robust data pipelines for ingestion, cleaning, and transformation using Databricks, Airflow, or Kubernetes.
  • Develop efficient ETL/ELT workflows in Python and SQL to support both batch and streaming workloads.
  • Partner with ML/AI teams to make datasets and tools discoverable and safe for autonomous agents, including evaluation and guardrails for AI-generated queries.
  • Develop retrieval pipelines (RAG, vector search) over structured stats and unstructured sources (scouting notes, video metadata) to power AI applications.
  • Model and maintain structured data assets (Delta, Parquet, Iceberg) for reliability, versioning, and lineage tracking.
  • Implement orchestration and monitoring: schedule jobs, track dependencies, and automate recovery from failures.
  • Ensure data quality and compliance through validation frameworks, schema enforcement, and audit logging.
  • Contribute to data platform evolution: evaluate tools, standardize best practices, and improve developer experience.
  • Support performance and cost optimization across compute, storage, and orchestration systems.

Qualifications
  • 3-8 years of experience as a Data Engineer or ETL Developer in a production environment.
  • Proficiency in Python and SQL; strong familiarity with Databricks, Spark, or equivalent big-data frameworks.
  • Experience with workflow orchestration tools such as Airflow, Dagster, Luigi or Prefect.
  • Deep understanding of data modeling, data warehousing, and distributed data processing.
  • Knowledge of modern data lakehouse architectures.
  • Familiarity with CI/CD, GitHub Actions, Infrastructure as Code, and data pipeline testing frameworks.
  • Comfort working in a cross-functional environment with ML, product, and analytics teams.
  • Exposure to LLM-powered data tools: text-to-SQL, RAG, agent/tool interfaces (e.g. MCP), or natural-language analytics.
  • Previous work with cloud infrastructure (AWS, GCP, or Azure) and container orchestration (Docker, Kubernetes).

Preferred
  • Previous experience with sports, telemetry, or sensor data pipelines.
  • Familiarity with streaming frameworks and event driven data processing (Kafka, Spark Structured Streaming, Flink).
  • General knowledge of American football, the NFL, and college football.
  • Background in data governance, lineage, and observability tools (Monte Carlo, Great Expectations, Unity Catalog, OpenLineage).
  • Experience designing semantic layers or metric definitions consumed by AI and BI tools.
  • Exposure to best practices in machine-learning model management and MLOps.

Benefits
  • Competitive Salary and Bonus Plan
  • Comprehensive health insurance plan
  • Retirement savings plan (401k) with company match
  • Remote working environment
  • A flexible, unlimited time off policy
  • Generous paid holiday schedule - 13 in total including Monday after the Super Bowl

SumerSports is committed to fair and equitable compensation practices.
Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.
The total compensation package for this position may also include annual performance bonus, benefits and/or other applicable incentive compensation plans.
The pay range for this role is:
160,000 - 190,000 USD per year (Remote)

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