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Big Data Engineering Jobs (NOW HIRING)

Big Data Engineer

San Antonio, TX · On-site

$50.75 - $67/hr

Big Data Engineer LOCATION San Antonio, TX 78208 CLEARANCE TS/SCI Full Poly (Please note this ... Engineering, Mathematics, Statistics, Computational Science, Information Technology, Applied ...

Big Data Engineer

Chantilly, VA · On-site

$57.50 - $76.25/hr

Big Data Engineer LOCATION Chantilly, VA 20151 CLEARANCE TS/SCI Full Poly (Please note this ... Engineering, Mathematics, Statistics, Computational Science, Information Technology, Applied ...

Big Data Engineer

Lansing, MI · On-site

$110K - $125K/yr

Opportunity for advancement Big Data Engineer Location: Chicago, IL (Day 1 Onsite) Job Type: Contract / Full Time Experience: 8+ yrs Duration: Long Term We are seeking an experienced Big Data ...

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Big Data Engineer

Phoenix, AZ · On-site

$55.25 - $73.25/hr

Big Data Engineer Location : Phoenix , AZ / Raleigh , NC / Tampa , FL 6 to 12 months AWS experience should have EMR Lambda, S3 and EC2 Should be strong hands-on experience in Big Data Technologies.

Sr. Big Data Engineer

Weehawken, NJ · On-site

$60.50 - $80.25/hr

Sr. Big Data Engineer Weehawken, NJ Strong Banking Domain experience is required Only Local ... Background in platform engineering roles on cloud platforms, with strong knowledge of Azure ...

Big Data Engineer

Reston, VA · On-site

$58 - $76.75/hr

Big Data Engineer LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note this position ... Engineering, Mathematics, Statistics, Computational Science, Information Technology, Applied ...

Big Data Engineer

Tysons, VA · On-site

$56 - $74/hr

Big Data Engineer LOCATION Tysons, VA 22182 CLEARANCE TS/SCI Full Poly (Please note this position ... Engineering, Mathematics, Statistics, Computational Science, Information Technology, Applied ...

Big Data Engineer

Phoenix, AZ · On-site

$55.25 - $73.25/hr

Company Description Big Data Engineer Location : Phoenix , AZ / Raleigh , NC / Tampa , FL 6 to 12 months AWS experience should have EMR Lambda, S3 and EC2 Should be strong hands-on experience in Big ...

Big Data Engineer

$57 - $75.50/hr

Senior Software Engineer, Big Data Duration : Long Term Exp: 10+ years Job Overview : We are ... engineering, or other related fields or equivalent experience. Regards, Niranjan | Manager ...

Big Data Engineer

Creve Coeur, MO · On-site

$52.25 - $69/hr

As a big data engineer you will develop innovative software using state of the art big data streaming architectures. Qualifications Requirements * Extensive experience setting up and doing ...

Big Data Engineer

Creve Coeur, MO · On-site

$52.25 - $69/hr

As a big data engineer you will develop innovative software using state of the art big data streaming architectures. Qualifications Requirements * Extensive experience setting up and doing ...

Big Data developer

Redmond, WA · On-site

$59.25 - $77/hr

Big Data developer Redmond, WA Long term Contract (On W2) Need a Strong candidate with Big data and ... engineering teams to streamline or improve adoption of our platform. • Technical mentoring of ...

Big Data Engineer

Alpharetta, GA · On-site

$54.50 - $72/hr

Big Data Engineer (Hybrid) Location: Alpharetta, Georgia (Hybrid Role) Employment Type: Contract-to-Hire (CTH) MOR2JP00017198 We are seeking a highly skilled and experienced Data Engineer to join our ...

Big Data Engineer

Pittsburgh, PA · On-site

$54 - $71.50/hr

Big Data Engineer Location: Pittsburgh, PA Mode: Permanent We are looking for a Big Data Engineer that will work on the collecting, storing, processing, and analyzing of large sets of data. The ...

Showing results 21-40

Big Data Engineering information

See salary details

$15

$62

$88

How much do big data engineering jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for big data engineering in the United States is $62.98, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $70.91 per hour, depending on experience, location, and employer.

What are some common challenges big data engineers face when working with large-scale data systems?

Big Data Engineers often encounter challenges related to data quality, system scalability, and performance optimization. Managing and processing vast amounts of data can strain infrastructure, requiring careful selection of storage and processing frameworks like Hadoop or Spark. Ensuring data pipelines are robust and reliable, handling data inconsistencies, and troubleshooting distributed systems are regular parts of the job. Collaboration with data scientists and analysts is essential to ensure that data is accessible and usable for downstream applications.

What is big data engineering?

Big Data Engineering is the field focused on designing, building, and maintaining systems and architecture that process large volumes of structured and unstructured data. Big Data Engineers develop pipelines for collecting, storing, and analyzing data from various sources, ensuring the data is accessible, reliable, and efficient to process. They work with technologies like Hadoop, Spark, and cloud platforms to manage data at scale, enabling organizations to gain insights and make data-driven decisions. This role requires a strong foundation in programming, data modeling, and distributed systems.

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

To thrive as a Big Data Engineer, you need strong programming skills (such as Java, Scala, or Python), expertise in data modeling, and a solid understanding of distributed computing, typically backed by a degree in computer science or a related field. Familiarity with big data tools like Hadoop, Spark, Kafka, and proficiency in SQL/NoSQL databases, along with cloud platforms like AWS or Azure, are essential, and certifications like Cloudera or AWS Big Data can be advantageous. Problem-solving ability, attention to detail, and effective communication are critical soft skills for designing robust data pipelines and collaborating with cross-functional teams. These competencies enable efficient management and extraction of insights from massive datasets, driving data-driven decision-making across organizations.

What is the difference between Big Data Engineering vs Data Engineering?

AspectBig Data EngineeringData Engineering
Required CredentialsBachelor's in CS, Data Science, or related; often certifications in Hadoop, SparkBachelor's in CS, Software Engineering, or related; similar certifications
Work EnvironmentLarge-scale data systems, distributed computing platformsVaried environments including databases, data warehouses, cloud platforms
Industry UsageTech, finance, healthcare, e-commerce with big data needsBroad industry use, including startups and enterprises

Big Data Engineering focuses on building and managing large-scale data processing systems using distributed frameworks like Hadoop and Spark. Data Engineering covers a broader scope, including designing data pipelines, databases, and data warehouses. While both roles require similar skills and credentials, Big Data Engineering specializes in handling massive datasets with distributed systems, whereas Data Engineering may involve a wider range of data management tasks across different environments.

More about Big Data Engineering jobs
What cities are hiring for Big Data Engineering jobs? Cities with the most Big Data Engineering job openings:
What states have the most Big Data Engineering jobs? States with the most job openings for Big Data Engineering jobs include:
What job categories do people searching Big Data Engineering jobs look for? The top searched job categories for Big Data Engineering jobs are:
Infographic showing various Big Data Engineering job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $131,001 per year, or $63 per hour.

Big Data Engineer

Cymertek

San Antonio, TX • On-site

$50.75 - $67/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday


Job description

Big Data Engineer
LOCATION
San Antonio, TX 78208
CLEARANCE
TS/SCI Full Poly (Please note this position requires full U.S. Citizenship)
KEY SUMMARY
We are looking for a skilled and motivated Big Data Engineer to join our team and help build scalable, high-performance data systems. In this role, you will design, develop, and maintain data pipelines, ensure efficient data processing, and optimize data storage solutions to support business intelligence and analytics needs. You will work closely with cross-functional teams to handle large-scale datasets, implement best practices in data architecture, and explore innovative technologies in the big data ecosystem. The ideal candidate has a deep understanding of distributed systems, data processing frameworks, and a passion for leveraging data to drive impactful insights. If you are eager to work in a fast-paced, data-driven environment, we want to hear from you.
*** Please note that our job openings are dynamic and can open or close quickly (much faster than we can publish). If you do not see an opening you are looking for, know that we see almost all types of positons. We strive to keep our listings up to date, but please consider submitting your current resume. Our team will work with you to identify the most recent opportunities that align with your skillset and career goals. We look forward to you joining our family. ***
SIMILAR CAREER TITLES
Data Engineer, Data Architect, Hadoop Developer, Spark Engineer, ETL Developer, Data Platform Engineer, Cloud Data Engineer, Database Engineer, Data Infrastructure Engineer, Analytics Engineer, etc.
DEGREE (Level Desired)
Bachelor's Degree
DEGREE (Focus)
Computer Science, Data Science, Information Systems, Software Engineering, Electrical Engineering, Mathematics, Statistics, Computational Science, Information Technology, Applied Physics, etc.
ALTERNATE EXPERIENCE
General comment on degrees: Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some contracts give 4-5 years experience credit for a Bachelor's Degree. Some contracts give 2 years experience credit for a Master's Degree. We will work with you to find the right fit.
POSITION RESPONSIBILITIES
  • Experience with designing scalable data pipelines
  • Proficiency in managing big data tools
  • Strong understanding of distributed systems
  • Expertise in data storage optimization
  • Familiarity with data governance practices
  • Ability to ensure data pipeline reliability

REQUIRED SKILLS
  • Proficiency in programming (e.g., Java, Python)
  • Expertise in data processing frameworks (e.g., Spark)
  • Skill in working with data storage systems (e.g., HDFS)
  • Familiarity with data query tools (e.g., SQL)
  • Ability to handle structured and unstructured data
  • Proficiency in data workflow orchestration tools

DESIRED SKILLS
  • Knowledge of real-time data processing
  • Experience with stream processing frameworks
  • Familiarity with NoSQL databases
  • Expertise in cloud-based big data solutions
  • Understanding of data visualization techniques
  • Knowledge of emerging big data technologies

PLUG IN to CYMERTEK - And design your future...
YOUR FOREVER CAREER STARTS HERE
Are you looking for more than just a job? Join a company where employees are treated like family, and your career is built to last. We are a growing small business and a trusted federal contractor offering full scope consulting services in information technology, cybersecurity, and analyst workforce development.
At our company, you come first. We're committed to creating an environment where you'll thrive professionally and personally. We provide meaningful, challenging work using cutting-edge technologies while investing in your growth and success. With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional work-life balance, you'll feel valued every day.
We also believe in taking care of our family - both yours and ours. Our benefits are phenomenal, family-friendly, and designed with your well-being in mind. From employee and family events to career-long support, we create a community you'll never want to leave.
Ready to make your next move the best one? Join us and experience the difference.
BENEFITS
  • Excellent Salaries
  • Flexible Work Schedule
  • Cafeteria Style Benefits
  • 10% - 401k Matching (Vested Immediately)
  • Additional 401k Profit Sharing
  • 30 days Paid Leave/Holiday (No Use or Lose!)
  • The day off for your birthday
  • Medical/Dental/Vision - 100% employee coverage. ($1200 allowance - or a bonus)
  • HSA/FSA
  • AFLAC
  • Long Term/Short Term Disability - 100% employee coverage. No cost to you.
  • Life Insurance - 100% employee coverage. No cost to you.
  • Additional Discretionary Life Insurance
  • Paid Training
  • No long, wordy reviews with tons of paperwork!!!
  • Referral bonus program with recurring annual payments

HOW TO APPLY
Email us atjobs@cymertek.comor apply today:www.cymertek.com
Want to see what our employees think? Clickhere .
EQUAL OPPORTUNITY EMPLOYER STATEMENT
Cymertek is proud to be an Equal Opportunity Employer committed to fostering an inclusive and diverse workplace. We embrace and celebrate differences in our employees, recognizing that a diverse workforce enhances our creativity, innovation, and overall success. At Cymertek, employment decisions are made based on merit, qualifications, and business needs without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by applicable laws. We believe in creating an environment where all individuals are treated with respect and dignity, and where opportunities for professional growth and advancement are accessible to everyone, regardless of background or identity.