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Part Time Data Engineering Jobs in Columbus, OH (NOW HIRING)

We are looking for a proficient Coder (part-time work from home) to help advance AI development. As ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

DevOps Engineer

Columbus, OH · Remote

$40 - $75/hr

We are looking for a proficient Coder (part-time work from home) to help advance AI development. As ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

Back End Developer

Columbus, OH · Remote

$40 - $75/hr

We are looking for a proficient Coder (part-time work from home) to help advance AI development. As ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

Software Engineer

Columbus, OH · Remote

$40 - $75/hr

We are looking for a proficient Coder (part-time work from home) to help advance AI development. As ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

Application Developer

Columbus, OH · Remote

$40 - $75/hr

We are looking for a proficient Coder (part-time work from home) to help advance AI development. As ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

Backend Developer

Columbus, OH · Remote

$40 - $75/hr

We are looking for a proficient Coder (part-time work from home) to help advance AI development. As ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

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Part Time Data Engineering information

See Columbus, OH salary details

$43K

$125.3K

$171.4K

How much do part time data engineering jobs pay per year?

As of May 29, 2026, the average yearly pay for part time data engineering in Columbus, OH is $125,293.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,600.00 and $132,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Part Time Data Engineer, and why are they important?

To thrive as a Part Time Data Engineer, you need proficiency in programming languages like Python or SQL, knowledge of database management, and a degree in computer science or a related field. Familiarity with data warehousing tools, ETL processes, and platforms such as AWS, Google Cloud, or Apache Spark is typically required. Strong problem-solving abilities, attention to detail, and effective communication help individuals excel in this flexible role. These skills ensure accurate data pipelines, efficient data processing, and successful collaboration with cross-functional teams, even in a part-time capacity.

How does a part-time data engineering role typically balance project responsibilities with limited working hours?

In a part-time data engineering position, tasks are often scoped to fit within your available hours, focusing on specific projects or maintenance work rather than broader, ongoing initiatives. You’ll likely collaborate closely with full-time engineers to ensure hand-offs are smooth and that you’re aligned on priorities. Clear communication and proactive time management are essential, as you may need to coordinate across teams or adjust your workload to meet deadlines. Many organizations also provide flexible scheduling and clear documentation practices to help part-time team members stay integrated and productive.

What is a part-time data engineering job?

A part-time data engineering job involves working fewer hours than a full-time position, typically focusing on building and managing data pipelines, organizing data storage, and ensuring data quality for organizations. Part-time data engineers may work on specific projects or provide support to larger teams, often with flexible schedules. They use programming languages and tools like Python, SQL, and cloud platforms to move, transform, and optimize data. This role is ideal for those seeking work-life balance, students, or professionals looking to gain experience or supplement their income.

What is the difference between Part Time Data Engineering vs Part Time Data Analysis?

AspectPart Time Data EngineeringPart Time Data Analysis
Required CredentialsTypically requires knowledge of SQL, Python, ETL tools, and cloud platformsRequires skills in SQL, Excel, data visualization tools, and basic statistical knowledge
Work EnvironmentOften involves building data pipelines, managing databases, and working with data infrastructureFocuses on interpreting data, creating reports, and providing insights
Employer & Industry UsageUsed in tech companies, finance, and e-commerce for data infrastructure rolesCommon in marketing, consulting, and business intelligence roles across industries

Part Time Data Engineering involves developing and maintaining data pipelines and infrastructure, requiring technical skills in programming and cloud platforms. In contrast, Part Time Data Analysis centers on interpreting data, creating reports, and providing insights, often using visualization tools. Both roles are essential in data-driven organizations but differ in technical complexity and focus.

What are the most commonly searched types of Data Engineering jobs in Columbus, OH? The most popular types of Data Engineering jobs in Columbus, OH are:
Consolidated Data Analytics Platform Brokering Engineer

Consolidated Data Analytics Platform Brokering Engineer

Booz Allen Hamilton

Columbus, OH • On-site

$77.60K - $176K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 23 days ago


Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

8th of 57 rated business consultants


Job description

Consolidated Data Analytics Platform Brokering Engineer

The Opportunity:

Ever-expanding technology and collection methodologies means that there is more structured and unstructured data available today than ever before. As a data engineer, you know that organizing big data can yield pivotal insights when it is gathered from disparate sources. We need a Data Engineer who is experienced in upgrading and maintaining Kafka clusters in Kubernetes in AWS, as well as utilizing Kafka Schema Registry and Kafka Security Manager (KSM) to manage schema evolution and security.

In this role, you'll use your expertise in designing, developing, and deploying Kafka clusters in a cloud environment, and with Kafka Schema Registry and Kafka Security Manager. Here, you will guide and mentor data engineers, developers, and data consumers in a fast-paced, agile environment, and will oversee the assessment, design, building, and maintenance of scalable platforms for your clients.

Join us. The world can't wait.

You Have:

  • Experience with Kafka or Confluent in a containerized environment
  • Experience with Apache NiFi in a containerized environment
  • Experience creating data partitioning strategies and monitoring topics for performance
  • Experience deploying and upgrading Kafka clusters in high availability containerized environments
  • Experience utilizing observability platforms, including Prometheus, Grafana, or Elastic, to configure monitoring for data pipelines to ensure high availability and throughput, low latency, and alerting
  • Knowledge of stream processing pipelines and analytics
  • Secret clearance
  • HS diploma or GED

Nice If You Have:

  • Experience with the Confluent for Kubernetes (CFK) Operator
  • Experience with scripting in Bash or Python
  • Experience deploying and maintaining applications, appliances, or machines aligned to DoD Security Technical Implementation Guidelines (STIGs) and Security Requirements Guides (SRGs)
  • Experience writing playbooks and scripts for automation tools, including Terraform, Ansible, or Puppet, for Infrastructure-as-Code (IaC) and Configuration-as-Code (CaC)
  • Experience in DoW, Intelligence Community, or other regulated environments
  • Knowledge of cybersecurity concepts, including threats, vulnerabilities, security operations, encryption, boundary defense, auditing, authentication, and supply chain risk management
  • Knowledge of Zero Trust Architecture (ZTA) principles

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.

  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.


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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914