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Freelance Summer Data Engineer Jobs (NOW HIRING)

Zefr, Inc

Data Engineer

Marina Del Rey, CA · On-site

$100K - $130K/yr

... data engineering team. The team is responsible for a broad range of systems and technologies ... Summer Fridays (we leave early) * In-office, hybrid, and fully-remote work options available * In ...

Solomon Page

Data Engineer

Manhattan, NY · On-site

$85 - $90/hr

We're looking for an experienced Integration & Automation Engineer to design and enhance enterprise ... freelancers - which sets us apart in the industries we serve. About Solomon Page Founded in 1990 ...

Syracuse University

AI Data Engineer

Syracuse, NY · On-site

$89K - $95K/yr

... AI Data Engineer Location Syracuse, NY Campus Syracuse, NY Commitment to On-Campus Experience ... summer) Hours may vary based on operational needs. Job Type Full-time Unionized Position Code Not ...

David Yurman

Data Engineer

Manhattan, NY · On-site

$125 - $150/hr

The Data Management & Engineering (DME) team at David Yurman (DY) is responsible to design ... Summer Fridays (corporate roles), generous paid time off, sick time, and mor**Diversity, Equity ...

David Yurman

Data Engineer

New York, NY · Hybrid

$140K - $150K/yr

We are looking for a dynamic Data Engineer to design and build data integration solutions to ... Summer Fridays (corporate roles), generous paid time off, sick time, and mor Diversity, Equity ...

David Yurman

Data Engineer

New York, NY · On-site

$140K - $150K/yr

We are looking for a dynamic Data Engineer to design and build data integration solutions to ... Summer Fridays (corporate roles), generous paid time off, sick time, and mor Diversity, Equity ...

GMV

Data Engineer

New Albany, IN · On-site +1

$105K - $127K/yr

We are an engineering and innovation company working in different areas. Within the IT sector we ... We have flexible hours and intensive working hours during the summer months. In addition, you can ...

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Freelance Summer Data Engineer information

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$132

How much do freelance summer data engineer jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for freelance summer data engineer in the United States is $47.71, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $61.78 per hour, depending on experience, location, and employer.

What is a freelance summer data engineer?

Freelance summer data engineers are professionals who work independently on data engineering projects, typically during the summer months. They design, build, and maintain data pipelines, databases, and data processing systems for clients on a contract basis. Their work often involves extracting, transforming, and loading data (ETL), optimizing data workflows, and ensuring data quality. Because they are freelancers, they have flexibility in choosing projects and clients, and they may work remotely or on-site as needed. Summer positions are common for companies with seasonal data needs or students seeking experience during their break.

What skills and qualifications are needed to thrive as a freelance summer data engineer?

To thrive as a Freelance Summer Data Engineer, you need strong programming skills (such as Python or SQL), data modeling expertise, and a solid understanding of database systems, often supported by a technical degree or relevant certifications. Familiarity with cloud platforms (like AWS or Google Cloud), ETL tools, and big data frameworks (such as Spark or Hadoop) is typically required. Excellent problem-solving, self-management, and communication skills set top freelancers apart, enabling effective remote collaboration with clients. These skills ensure you can deliver reliable, scalable data solutions within tight project timelines and adapt to diverse client needs.

What are common challenges faced by freelance summer data engineers, and how can they be addressed?

Freelance summer data engineers often encounter challenges such as aligning quickly with a client's existing data infrastructure, managing varying project scopes, and adapting to different team communication styles. To address these, it's important to establish clear project requirements early, schedule regular check-ins with stakeholders, and leverage collaborative tools for documentation and version control. Building strong communication channels and proactively seeking feedback will also help ensure your work aligns with client expectations and project timelines.

What is the difference between Freelance Summer Data Engineer vs Freelance Data Analyst?

AspectFreelance Summer Data EngineerFreelance Data Analyst
Required SkillsData engineering, SQL, ETL, cloud platformsData analysis, Excel, SQL, visualization tools
Work EnvironmentProject-based, remote or on-site during summerProject-based, remote or on-site during summer
Industry UsageTech, finance, healthcareMarketing, retail, finance

Freelance Summer Data Engineers focus on building data pipelines and managing data infrastructure, while Freelance Data Analysts interpret data and create reports. Both roles are project-based and often remote during summer, but they require different skill sets and serve different functions within organizations.

What cities are hiring for Freelance Summer Data Engineer jobs?

Cities with the most Freelance Summer Data Engineer job openings:

What are the most commonly searched types of Summer Data Engineer jobs?

The most popular types of Summer Data Engineer jobs are:

What states have the most Freelance Summer Data Engineer jobs?

States with the most job openings for Freelance Summer Data Engineer jobs include:

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For Freelance Summer Data Engineer jobs, the most frequently searched job titles are:

Freelance Summer Data Engineer jobs near you

Tech & Data Program Summer 2027 - Data Engineer Intern (Hartford)

Hartford, CT • On-site, Remote

The Hartford Financial Services Group, Inc.
Finance and Insurance • 10K+ employees
Learn more about The Hartford Financial Services Group, Inc.external

Full-time

Re-posted 8 hours ago

Key responsibilities

  • Build and support data pipelines that ingest, transform, and prepare data for business and analytical use

  • Work with structured and unstructured data to enable analytics, reporting, and AI-driven solutions

  • Apply data engineering tools and techniques to develop reliable data assets

The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 122 frontline employees who took The Breakroom Quiz

58th of 315 rated insurance

Job description

Student Intern - HHSIAN
We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.
Tech & Data Program Summer 2027 - Data Engineer Intern
Program Overview
At The Hartford, we foster an inclusive and collaborative environment where every voice is valued and every idea can make an impact. Our culture is built on integrity, innovation, and a customer-first mindset. We believe in empowering employees to grow through continuous learning, mentorship, meaningful work, and opportunities to contribute to solutions that support our customers and business.
As a Data Engineer Intern, you will help build and support the data pipelines, platforms, and processes that enable analytics, reporting, automation, and AI-driven insights across the organization. This role is ideal for students who are interested in building the systems behind the data - transforming raw information into reliable, usable data assets that help teams make better decisions.
Bring your curiosity, technical mindset, and willingness to learn. Your voice and perspective matter here.
About the Experience
The Hartford's Technology, Data, AI, and Operations organization offers an immersive summer internship program designed to help students explore career paths in technology, data engineering, cybersecurity, AI, analytics, data science, and technology operations within the insurance industry.
As part of The Hartford's growing investment in AI and advanced analytics, interns will explore how emerging technologies - including generative AI, machine learning, and automation - are transforming business operations, decision-making, and customer experience.
In this role, you will gain hands-on experience supporting data solutions that help power business insights, analytics products, and future AI capabilities.
This role is a hybrid position in Hartford, CT. or in the future. Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.
What You'll Gain
  • Hands-on experience designing, building, and supporting data pipelines and data workflows
  • Exposure to modern data engineering practices, including ETL/ELT, data transformation, data quality, and cloud-based data platforms
  • Opportunities to work with tools and technologies such as Python, SQL, PL/SQL, Snowflake, GitHub, and cloud platforms
  • Exposure to how data engineering enables analytics, reporting, automation, machine learning, and AI use cases
  • Mentorship, coaching, feedback, and self-directed learning opportunities
  • Networking, volunteerism, and employee engagement experiences with peers and leaders across the organization
  • A stronger understanding of how data supports decision-making within the insurance industry

Ways You'll Learn, Grow, and Contribute
Depending on your role and project assignments, your experience may include:
  • Build and support data pipelines that ingest, transform, and prepare data for business and analytical use
  • Work with structured and unstructured data to enable analytics, reporting, and AI-driven solutions
  • Apply data engineering tools and techniques (e.g., Python, SQL, ETL processes, cloud technologies) to develop reliable data assets
  • Ensure data quality, consistency, and performance through profiling, validation, and monitoring activities
  • Collaborate with cross-functional teams to deliver scalable data solutions that address business needs
  • Leverage AI tools (e.g., Copilot) to enhance productivity and support the development of data solutions that power advanced analytics and machine learning

Required Qualifications
  • Undergraduate or graduate student expecting to graduate in May 2028 with a Bachelor's or Master's degree and a GPA of 3.0 or higher.
  • Pursuing a degree in Computer Science, Engineering, IT, Management Information Systems, Data Analytics, Applied Mathematics, or another STEM-related field
  • Strong analytical, problem-solving, and critical thinking skills
  • Strong communication, collaboration, and interpersonal skills
  • Curiosity and willingness to explore new technologies and challenge assumptions
  • Demonstrated ability to analyze complex problems using structured thinking and logical reasoning
  • Commitment to ethical judgment, responsible data use, and understanding how technology decisions affect stakeholders and the business

Experience and exposure to some or all of the following:
  • Programming & Querying: Python, SQL, PL/SQL
  • Data Engineering: ETL/ELT, data pipelines, data transformation, data profiling, data quality, data modeling
  • Data Platforms & Tools: Snowflake, GitHub, relational databases, data warehouse concepts
  • Cloud Technologies: AWS, Azure, or Google Cloud
  • Analytics & BI: Tableau, dashboards, reporting, data mining, or business intelligence tools
  • AI & Emerging Technology: Familiarity with AI/ML concepts, generative AI tools, LLMs, NLP, or interest in building data foundations that support AI-driven solutions
  • Agile Ways of Working: Exposure to Agile teams, sprint delivery, or collaborative product-based work.

Our internship program is designed as a pipeline for future full-time opportunities. High-performing interns may be considered for full-time roles within The Hartford's Technology & Data organization.
Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
About Us | Our Culture | What It's Like to Work Here | Perks & Benefits

What The Hartford employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Hartford logo

About Hartford

Sourced by ZipRecruiter

Hartford Financial Services Group, widely recognized as The Hartford, is a renowned company based in Hartford, CT, US. Established in 1810, it has evolved into an industry leader in the insurance and financial services sector, proudly serving more than one million businesses in the US. The Hartford is committed to offering a gamut of insurance products that include homeowners, automobile, and business insurance as well as employee benefits and mutual funds. The company’s core values revolve around customer-focused innovations, diversity and inclusion, and ethical dealings that have earned them a customer-centric reputation. This shapes their mission which revolves around aiding their clients to overcome unforeseen obstacles and enhancing their wealth over time. Among the company's noted accomplishments is being consistently listed among the World's Most Ethical Companies, a testament to their unwavering commitment towards responsible business practices.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Hartford, CT, US

Year founded

1810

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