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Full Time Role: Big Data Engineer

Wise Skulls Corp.

Hybrid in Dallas, Texas • 17d ago

Easy Apply

Full-time

Depends on Experience

Senior Big Data Engineer

Grid Dynamics Holdings, Inc

Remote or California • Today

Full-time

USD 140,000.00 - 160,000.00 per year

Senior Big Data Developer/Engineer

TSR Consulting Services, Inc.

Mississauga, Ontario • Today

Easy Apply

Third Party, Contract

$61.00 - $61 per hour

Senior Engineer, Big Data

Molina Healthcare

No location provided • Today

Full-time

USD 79,607.91 - 172,483.80 per year

Senior Software Engineer - Big Data/ML Ops

Truveta

Seattle, Washington • Today

Full-time

USD 155,000.00 - 190,000.00 per year

Big Data Engineer - Sr

Dexian DISYS

Plano, Texas • Today

Easy Apply

Contract

$60 - $70 per hour

Senior Software Engineer, Big Data

ZipRecruiter

Santa Monica, California • Today

Full-time

USD 140,000.00 - 200,000.00 per year

Senior Software Engineer-Bigdata & Hadoop Engineer with Development experience

Visa

Austin, Texas • 26d ago

Full-time

USD 110,700.00 - 171,800.00 per year

Senior Engineer, Big Data - Claims Reporting Analytics - Remote

Molina Healthcare

Remote • Today

Full-time

USD 79,607.91 - 172,483.80 per year

Senior Big Data Developer

Citi

Tampa, Florida • Today

Full-time

USD 113,840.00 - 170,760.00 per year

Senior Big Data Developer

Citi

Tampa, Florida • Today

Full-time

Compensation information provided in the description

Big Data Engineer, Senior

Fiserv, Inc.

Milwaukee, Wisconsin • 9d ago

Full-time

Lead Big Data Engineer - VP

Barclays

Alabama • Today

Full-time

USD 170,000.00 - 230,000.00 per year

Lead Big Data Engineer - VP Risk Analytics

Barclays

Alabama • Today

Full-time

USD 170,000.00 - 230,000.00 per year

Senior Data Engineer | Denver, CO |Strong SQL, Python, Spark, AI/ML, Delta Lake & Big Data experience required

Keylent

Denver, Colorado • 15d ago

Easy Apply

Contract

Depends on Experience

Senior Lead Software Engineer-Big Data Python /Java , Databricks

JPMorgan Chase & Co.

Houston, Texas • Today

Full-time

Lead Bigdata Engineer, DC or MN (Hybrid)

UnitedHealth Group

Eden Prairie, Minnesota • Today

Full-time

USD 112,700.00 - 193,200.00 per year

Big Data Engineer

select minds

Lansing, Michigan • Today

Full-time

USD 110,000.00 - 125,000.00 per year

Lead Engineer, Big Data

Molina Healthcare

No location provided • Today

Full-time

USD 96,325.57 - 208,705.40 per year

Lead Software Engineer - Big Data

FINRA - Financial Industry Regulatory Authority

Rockville, Maryland • Today

Full-time

USD 114,200.00 - 207,200.00 per year

Lead Software Engineer - Big Data

JPMorgan Chase & Co.

Plano, Texas • Today

Full-time

AWS Lead Software Engineer-Big Data/ETL

JPMorgan Chase & Co.

Wilmington, Delaware • Today

Full-time

Lead Software Engineer- Big Data Python /Java , Databricks

JPMorgan Chase & Co.

Houston, Texas • Today

Full-time

Lead Software Engineer- Big Data Python /Java , Databricks

JPMorgan Chase & Co.

Houston, Minnesota • Today

Full-time

Lead Software Engineer-Big Data Python / Java , Databricks

JPMorgan Chase & Co.

Houston, Texas • Today

Full-time

Lead Software Engineer-Big Data Python / Java , Databricks

JPMorgan Chase & Co.

Houston, Minnesota • 5d ago

Full-time

Software Engineer III - Big Data & AWS

JPMorgan Chase & Co.

Plano, Texas • Today

Full-time

Big Data PySpark Lead Engineer - Vice President

Citi

Jersey City, New Jersey • Today

Full-time

USD 142,320.00 - 213,480.00 per year

Software Engineer III - Big Data Databricks, Python / Java

JPMorgan Chase & Co.

Houston, Texas • Today

Full-time

Big Data Engineer

Software Guidance & Assistance

Rockville, Maryland • Today

Contract

USD 70.00 - 75.00 per hour

Wise Skulls Corp.

Job Details

Skills

("Big Data Engineer" OR "Senior Big Data Engineer" OR "Data Engineer" OR "Hadoop Developer" OR "Spark Developer") AND (Python) AND (Spark OR "Apache Spark") AND (Hadoop OR HDFS OR Hive OR Impala) AND (ETL OR "Data Pipeline*" OR "Data Engineering") AND (Control-M OR "Control M" OR CA7 OR Autosys OR Airflow) AND (SQL) AND (Architecture OR Architect OR Design OR "Technical Lead" OR Mentoring)

Summary

Summary: It is a Full Time Role.

We are looking for an experienced Big Data Engineer with 7–10 years of hands-on experience to design, build, and maintain scalable data pipelines and processing systems in an on-premises Big Data environment. Beyond strong individual contribution, the ideal candidate will own architecture and design decisions, set technical direction, and mentor and support other developers on the team. The role works closely with cross-functional teams to deliver reliable, high-quality data solutions that support business and analytics needs.

Technical Skills

Must Have

7–10 years of overall experience in data engineering, with a proven track record in technical leadership (design ownership, mentoring, guiding development teams).
Python – strong hands-on development experience building production-grade data solutions.
Big Data / Hadoop ecosystem (Hadoop, Hive, Impala, HDFS) – deep, hands-on experience in on-premises environments.
Apache Spark – solid experience developing and tuning large-scale distributed data processing jobs.
Job scheduling / orchestration – hands-on experience with CA7 or Control-M (or comparable enterprise schedulers).
Strong understanding of data structures, ETL processes, and SQL.
Extensive experience with large-scale data processing and distributed systems.
Demonstrated ability to make sound architecture/design decisions and to mentor and support other developers.
Exposure to AI/ML concepts or tools, with a strong willingness to learn and grow in this space.
Banking/Financial domain highly preferred

Roles & Responsibilities

Lead the design, development, and maintenance of robust, scalable data pipelines for ingestion, transformation, and processing of large datasets in an on-premises environment.
Own architectural and design decisions for data solutions, evaluating trade-offs and defining technical standards for the team.
Mentor, guide, and support other data engineers through code reviews, design reviews, technical coaching, and hands-on problem-solving.
Build and optimize data workflows using Python, Spark, and the Hadoop ecosystem.
Work extensively with Hadoop ecosystem components (Hive, HDFS, Impala) to manage and query large-scale data.
Manage and optimize batch scheduling and job orchestration using enterprise schedulers such as CA7 or Control-M.
Ensure data quality, integrity, and performance across data platforms.
Collaborate with data analysts, data scientists, and business stakeholders to translate data requirements into sound technical designs.
Troubleshoot and resolve complex issues in data pipelines and production environments, acting as an escalation point for the team.
Champion best practices for coding standards, version control, testing, and documentation.
Stay current with emerging technologies, particularly AI/ML capabilities, and identify opportunities to apply them to data engineering workflows.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91097138
Position Id: 9046489
Posted 17 days ago

Company Info

About Wise Skulls Corp.

Since 2019, Wise Skulls has been redefining the landscape of contractual staffing by connecting exceptional talent with industry-leading opportunities. Specializing in the IT sector and expanding into diverse industries, we help build impactful careers and high-performing teams.

Our mission is clear: to align the right people with the right roles while fostering long-term success for individuals and organizations alike. By leveraging cutting-edge technology, industry expertise, and a deep understanding of both on-site and remote work dynamics, we provide staffing solutions that go beyond filling positions and create pathways to growth and innovation.

At Wise Skulls, we aspire to set new benchmarks for efficiency and excellence in staffing. Our vision is to become the go-to platform for contractual hiring, empowering professionals to achieve their career aspirations and enabling businesses to thrive with dynamic teams.

Go to company profile

Fitment

Dice Job Match Score™

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Contact the job poster

Jagrut Gohil

Sr. IT Recruiter @ Wise Skulls Corp.

View Profile

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Wise Skulls Corp.

Job Details

Skills

("Big Data Engineer" OR "Senior Big Data Engineer" OR "Data Engineer" OR "Hadoop Developer" OR "Spark Developer") AND (Python) AND (Spark OR "Apache Spark") AND (Hadoop OR HDFS OR Hive OR Impala) AND (ETL OR "Data Pipeline*" OR "Data Engineering") AND (Control-M OR "Control M" OR CA7 OR Autosys OR Airflow) AND (SQL) AND (Architecture OR Architect OR Design OR "Technical Lead" OR Mentoring)

Summary

Summary: It is a Full Time Role.

Technical Skills

Must Have

7–10 years of overall experience in data engineering, with a proven track record in technical leadership (design ownership, mentoring, guiding development teams).
Python – strong hands-on development experience building production-grade data solutions.
Big Data / Hadoop ecosystem (Hadoop, Hive, Impala, HDFS) – deep, hands-on experience in on-premises environments.
Apache Spark – solid experience developing and tuning large-scale distributed data processing jobs.
Job scheduling / orchestration – hands-on experience with CA7 or Control-M (or comparable enterprise schedulers).
Strong understanding of data structures, ETL processes, and SQL.
Extensive experience with large-scale data processing and distributed systems.
Demonstrated ability to make sound architecture/design decisions and to mentor and support other developers.
Exposure to AI/ML concepts or tools, with a strong willingness to learn and grow in this space.
Banking/Financial domain highly preferred

Roles & Responsibilities

Lead the design, development, and maintenance of robust, scalable data pipelines for ingestion, transformation, and processing of large datasets in an on-premises environment.
Own architectural and design decisions for data solutions, evaluating trade-offs and defining technical standards for the team.
Mentor, guide, and support other data engineers through code reviews, design reviews, technical coaching, and hands-on problem-solving.
Build and optimize data workflows using Python, Spark, and the Hadoop ecosystem.
Work extensively with Hadoop ecosystem components (Hive, HDFS, Impala) to manage and query large-scale data.
Manage and optimize batch scheduling and job orchestration using enterprise schedulers such as CA7 or Control-M.
Ensure data quality, integrity, and performance across data platforms.
Collaborate with data analysts, data scientists, and business stakeholders to translate data requirements into sound technical designs.
Troubleshoot and resolve complex issues in data pipelines and production environments, acting as an escalation point for the team.
Champion best practices for coding standards, version control, testing, and documentation.
Stay current with emerging technologies, particularly AI/ML capabilities, and identify opportunities to apply them to data engineering workflows.

Dice Id: 91097138
Position Id: 9046489
Posted 17 days ago

Company Info

About Wise Skulls Corp.

Go to company profile

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Contact the job poster

Jagrut Gohil

Sr. IT Recruiter @ Wise Skulls Corp.

View Profile

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

W2 Role : Data Platform Engineer

Hybrid in Manor, Texas

•

10d ago

Easy Apply

Contract

Depends on Experience

Software Engineer (C++/Java) – Data Platform

Sunnyvale, California

•

11d ago

Easy Apply

Contract

Depends on Experience