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Big Data Engineering Manager Jobs (NOW HIRING)

Spokeo

Data Engineering Manager

Pasadena, CA · On-site +1

$172K - $206K/yr

Expertise in data lakes, warehouses, modeling, ETL, and big data platforms. * Familiarity with ... Engineering Manager Locations Remote, United States Remote status Fully Remote Yearly salary $172 ...

Spokeo

Data Engineering Manager

Pasadena, CA · On-site

About this Opportunity Spokeo is seeking a Data Engineering Manager to help build a ... Expertise in data lakes, warehouses, modeling, ETL, and big data platforms. * Familiarity with ...

Spokeo

Data Engineering Manager

Pasadena, CA · On-site +1

About this Opportunity Spokeo is seeking a Data Engineering Manager to help build a ... Expertise in data lakes, warehouses, modeling, ETL, and big data platforms. * Familiarity with ...

CYNET SYSTEMS

Big Data Engineer

Reston, VA · On-site

$51 - $66/hr

Bachelor's degree in Computer Science, Data Engineering, or related field. * 3-5+ years of ... Interact frequently with data scientists, project managers, IT teams, and business stakeholders.

Wise Skulls

Big Data Engineer

Dallas, TX · On-site

$51.50 - $68/hr

Manage and optimize batch scheduling and job orchestration using enterprise schedulers such as CA7 ... Technical Skills Must Have * 7-10 years of overall experience in data engineering, with a proven ...

Prophecy Technologies

BIG DATA ENGINEER

Berkeley Heights, NJ · On-site

$58.25 - $77/hr

... Manage and optimize HDFS and Apache Ozone, Kafka for scalable and fault-tolerant storage. • ... data engineering projects. Behavioral Skills: • Good Communication skills • 5 days Work from ...

Precision Technologies Corp

Big Data Engineer

Jersey City, NJ · On-site

$58.25 - $77/hr

We are seeking an experienced Big Data Engineer with hands-on experience in designing, developing, and managing scalable big data pipelines and platforms. The ideal candidate should have strong ...

CIS Technologies Inc.

Big Data Engineer

Jersey City, NJ · On-site

$58.25 - $77/hr

Role: Big Data Engineer Location: Basking Ridge, NJ Duration: 24 Months Job Responsibilities ... Thanks & Regards RAJU REDDY |Sr. Team Manager CIS Technology Inc Plano, TX 75074 Direct:

Inherent Technologies

Big Data Developer

Jersey City, NJ · On-site

$55.25 - $71.75/hr

Big Data Developer Location: New Jersey, NJ***Hybrid 3 days in a Week*** Duration: 1 Years Spark - Must have Scala - Must Have Hive & SQL - Must Have Hadoop - Must Have Communication - Must Have ...

Sonoma Consulting Inc.

Senior Big Data Engineer

Duluth, GA · On-site

$51.25 - $68/hr

BA/BS in Computer Science, Management Information Systems or equivalent degree. 1-5 Years ... Big Data Engineer / Big Data Consultant / Big data Developer PREFERRED QUALIFICATIONS: Teradata ...

Cymertek

Big Data Engineer

Chantilly, VA · On-site

$57.50 - $76.25/hr

... Engineering, Mathematics, Statistics, Computational Science, Information Technology, Applied ... Proficiency in managing big data tools * Strong understanding of distributed systems * Expertise in ...

Ocelot Consulting

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 ... OS and Container Management * Distributed microservice architectures providing elasticity ...

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How much do big data engineering manager jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for big data engineering manager 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.

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Infographic showing various Big Data Engineering Manager job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $131,001 per year, or $63 per hour.

Data Engineering Manager

Pasadena, CA • On-site, Remote

Spokeo
Software Development • 51 - 200 employees
Learn more about Spokeoexternal

$172K - $206K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 10 days ago

Job description

About Spokeo:
Spokeo is a people intelligence platform that helps over 18 million monthly visitors reconnect with friends, reunite with families, and build trust in new relationships. Thousands of companies also trust Spokeo's 60 billion public records to improve customer research, help verify information, and prevent fraud.
Founded in 2006, Spokeo has built a dedicated, remote-first team with an average tenure of 6.9 years. It has earned recognition from Comparably as a Best Company for Compensation, Employee Happiness, Perks and Benefits, Support for Women, Work-Life Balance, and CEO Leadership.
About this Opportunity
Spokeo is seeking a Data Engineering Manager to help build a state-of-the-art analytics platform. As a Data Engineering Manager, you will report directly to our Director of Data Engineering and lead a cross-functional team of data engineers to deliver high-quality, scalable data solutions that meet our data, reporting, and analytics needs. You will provide leadership and technical skills to champion and implement data governance, data integrity, data engineering standards, data integration, and QA best practices. You will partner closely with our Product Owners to understand requirements, provide technical guidance to the team, and ensure the timely delivery of quality solutions.
What you'll do:
  • Lead and manage data engineers to build data solutions for our business intelligence needs
  • Lead a cross-functional team in building a state-of-the-art data analytics platform
  • Collaborate with data scientists, analysts, product managers, and executives to understand and fulfill our data needs
  • Lead database development, data pipeline, integration, ETL, modeling, and data architecture using AWS technologies
  • Define and manage SLA's for all data sets and reporting processes
  • Develop software engineering best practices, guidelines, procedures, and repeatable and scalable frameworks
  • Document, automate, and enforce data quality, data integrity, and QA best practices

What you've done:
  • 7+ years of experience in Business Intelligence and Data Warehousing
  • 5+ years of experience with cloud solutions (AWS, Azure)
  • 5+ years of experience with big data technologies (Spark, Hadoop, MapReduce, Hive, Kafka)
  • 5+ years of experience with data pipelines orchestration tools like Airflow.
  • 2+ years of experience managing data engineering teams, providing technical guidance, and mentoring data engineers.
  • Expertise in data lakes, warehouses, modeling, ETL, and big data platforms.
  • Familiarity with MLOps to help design, automate, and streamline the entire lifecycle of ML models.
  • Expertise in RDBMS, SQL, query optimization, and security
  • A Bachelor's degree in Computer Science, Information Management, or a related field
  • Attention to detail, excellent problem-solving ability, and strong communication skills

Working at Spokeo
Our mission is to advance transparency, and to achieve that goal, we rally around six core values: listening with empathy, understanding the why, clarifying with data, innovating to learn, collaborating to achieve, and insisting on quality.
As a remote-first company, we are able to hire team members residing in the following US states: AZ, CA, CO, FL, GA, KY, MD, MI, MO, NJ, NV, NC, PA, SC, SD, TX, VA, WA, or WY.
In addition to a highly competitive base salary, our generous benefits include:
  • annual bonus program
  • stock options
  • 401K matching
  • 100% medical/dental/vision coverage
  • unlimited PTO
  • mental health resources
  • paid home office equipment
  • fitness reimbursements
  • support paying for courses
  • and more

Hiring at Spokeo
We extend written offers to candidates who successfully complete their selection process. Offers will depend on several factors, including, but not limited to, marketplace competition, job leveling, experience, and skills.
Privacy Notice for Candidates: https://www.spokeo.com/recruiting-policy
Spokeo is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status. Spokeo fosters a business culture where ideas and decisions from all people help us grow, innovate, create the best products, and be relevant in a rapidly changing world.
Recruiters or staffing agencies: Spokeo is not obligated to compensate any external recruiter or search firm who presents a candidate or their resume or profile to a Spokeo employee without 1) a current, fully executed agreement on file, and 2) being assigned to the open position (as a search) via our applicant tracking solution.
Use of Artificial Intelligence in Our Hiring Process
Spokeo may use artificial intelligence-enabled tools to support portions of the recruiting process. These tools may help our recruiting team organize, review, and summarize application materials, candidate experience, and interview information. They may also identify potential inconsistencies or verification signals in application materials for further human review.
AI-enabled tools assist our recruiting team but do not replace human judgment. Employment decisions are made by people based on a candidate's qualifications and the role's requirements.
#LI-Remote
Department Data Role Data Engineering Manager Locations Remote, United States Remote status Fully Remote Yearly salary $172,800 - $206,100

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