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Data Engineer - Remote

Iresh Technologies LLC

Remote or Hybrid in Dallas, Texas • Today

Easy Apply

Full-time

30 - 50

Data Engineer Remote Location

Sierra Business Solution LLC

Remote • Today

Third Party, Contract

$50 - $55

Conversational AI & GenAI Data Engineer-Remote

HPTech Inc.

Remote • Today

Easy Apply

Contract

Depends on Experience

Senior Data Engineer | Remote

Motion Recruitment Partners, LLC

Remote • Today

Easy Apply

Contract

$50 - $65

Lead Data Engineer (Remote in NH)

Motion Recruitment Partners, LLC

Remote or Manchester, New Hampshire • Today

Easy Apply

Full-time

USD 140,000.00 - 200,000.00 per year

Senior Scientific Data Engineer (Remote in MA)

Motion Recruitment Partners, LLC

Remote or Boston, Massachusetts • Today

Easy Apply

Full-time

USD 140,000.00 - 200,000.00 per year

Data Engineer- Remote

ICF International, Inc.

Remote or Reston, Virginia • 4d ago

Full-time

USD 98,614.00 - 167,644.00 per year

Data Engineer- Remote

ICF Consulting Group, Inc.

Remote or Reston, Virginia • Today

Full-time

USD 98,614.00 - 167,644.00 per year

Principal Data Engineer - Remote

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 112,700.00 - 193,200.00 per year

Senior Data Engineer (Remote)

First American Financial Corporation

Remote or Fort Mill, South Carolina • Today

Full-time

USD 121,980.00 - 130,525.00 per year

Senior Data Engineer - Remote

Med-Metrix

Remote or Tennessee • Today

Full-time

Sr AI/ML Data Engineer Remote or Office-Based in MN/DC

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 120,100.00 - 214,500.00 per year

Data Engineer (Python) - Remote USA

ICF International, Inc.

Remote or Reston, Virginia • 4d ago

Full-time

USD 81,499.00 - 167,644.00 per year

Data Engineer (Python) - Remote USA

ICF Consulting Group, Inc.

Remote or Reston, Virginia • Today

Full-time

USD 81,499.00 - 167,644.00 per year

Senior Data Engineer (Clearance Required) - Remote US

ICF Consulting Group, Inc.

Remote or Reston, Virginia • Today

Full-time

USD 98,614.00 - 167,644.00 per year

Senior Data Engineer (Clearance Required) - Remote US

ICF International, Inc.

Remote or Reston, Virginia • 5d ago

Full-time

USD 98,614.00 - 167,644.00 per year

Mortgage Servicing Data Engineer & Analyst (remote)

Visionaire Partners

Remote • 28d ago

Contract

60 - 65

Lead Data Platform Engineer (Remote in ME)

Motion Recruitment Partners, LLC

Remote or Portland, Maine • Today

Easy Apply

Full-time

USD 140,000.00 - 200,000.00 per year

Lead Engineer, Data (Remote, US)

Allstate Insurance Company

Remote or Chicago, Illinois • Yesterday

Full-time

USD 151,700.00 - 221,675.00 per year

Lead Engineer, Data (Remote, US)

Allstate Insurance Company

Remote or Illinois • Today

Full-time

USD 151,700.00 - 221,675.00 per year

Sr. Data Infrastructure Engineer (Remote)

CrowdStrike, Inc.

Remote • Yesterday

Full-time

USD 100,000.00 - 155,000.00 per year

Sr. Engineer - Platform Data Engineer (Remote)

CrowdStrike, Inc.

Remote • Today

Full-time

USD 140,000.00 - 215,000.00 per year

Engineer III - Platform Data Engineer (Remote)

CrowdStrike, Inc.

Remote • Today

Full-time

USD 120,000.00 - 180,000.00 per year

Cloud Data Engineer (Remote)

J VERS LLC

Remote • Today

Full-time

USD 175,000.00 - 200,000.00 per year

Data Engineer

Judge Group, Inc.

Richardson, Texas • Today

Contract

USD 50.00 - 60.00 per hour

Data Engineer

Aston Carter

Dallas, Texas • Today

Full-time

USD 60.00 - 67.00 per hour

Data Engineer

Berkshire Hathaway GUARD Insurance Companies

Plano, Texas • Today

Full-time

USD 100,000.00 - 140,000.00 per year

Data Engineer

Charter Global, Inc.

Remote • 15d ago

Easy Apply

Contract, Third Party

Depends on Experience

Data Engineer

Zyxware Technologies

Remote • 14d ago

Easy Apply

Full-time

Depends on Experience

Senior Data Engineer

CIS Technologies Inc.

Remote • Today

Easy Apply

Contract

Depends on Experience

Iresh Technologies LLC

Job Details

Skills

python
etl
snowflake
delta lake
cloud
apache spark

Summary

Job Summary

We are looking for an experienced Data Engineer with 5–6 years of hands-on experience in designing, developing, and maintaining scalable data pipelines and data processing solutions. The ideal candidate should have strong expertise in SQL, Python, ETL/ELT processes, data warehousing, and cloud-based data platforms.

The candidate will be responsible for building reliable data integration solutions, optimizing data workflows, and transforming large volumes of structured and unstructured data into meaningful insights for business intelligence and analytics.

Roles & Responsibilities

Design, develop, and maintain scalable ETL/ELT data pipelines to extract, transform, and load data from multiple sources.
Develop complex SQL queries, stored procedures, and optimize database performance.
Build data processing solutions using Python, PySpark, and Spark.
Work with cloud platforms such as AWS, Azure, or Google Cloud Platform (Google Cloud Platform).
Develop and maintain data warehouses, data lakes, and lakehouse architectures.
Implement data integration, data transformation, data cleansing, and data validation processes.
Work with big data technologies such as Apache Spark, Hadoop, Kafka, and Databricks.
Schedule, monitor, and troubleshoot data pipelines using orchestration tools such as Apache Airflow.
Collaborate with Data Analysts, Data Scientists, BI Developers, and business stakeholders.
Ensure data quality, data security, performance optimization, and pipeline reliability.

Required Technical Skills

Skill	Required Experience
Data Engineering	5–6 years
SQL	Strong hands-on experience
Python	Strong programming skills
ETL/ELT	Hands-on experience
Apache Spark / PySpark	Good experience
Cloud (AWS/Azure/Google Cloud Platform)	Experience in at least one
Data Warehousing	Good understanding
Apache Airflow	Preferred
Databricks	Preferred
Kafka	Good to have
Git / CI/CD	Working knowledge

Preferred Qualifications

Experience with Snowflake, Azure Synapse, Amazon Redshift, or BigQuery.
Knowledge of Delta Lake and Lakehouse architecture.
Experience with dimensional data modeling (Star and Snowflake schemas).
Understanding of batch and real-time data processing.
Experience implementing data governance and data quality frameworks.
Familiarity with Agile/Scrum development methodologies.

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: 91173278
Position Id: 9140630
Posted 1 hour ago

Company Info

About Iresh Technologies LLC

Talent Development & Growth

We invest in continuous learning and professional development to keep our team and clients ahead of industry trends.

Strategic Staffing Solutions

Precision matching of talent with organizational needs, ensuring long-term value and cultural alignment.

Technology Transformation

Empowering businesses with cutting-edge technologies and innovative solutions for sustainable competitive advantage.

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Contact the job poster

Pradeep Kumar

Recruiter @ Iresh Technologies LLC

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Remote jobs at Iresh Technologies LLC

Iresh Technologies LLC

Job Details

Skills

python
etl
snowflake
delta lake
cloud
apache spark

Summary

Job Summary

Roles & Responsibilities

Design, develop, and maintain scalable ETL/ELT data pipelines to extract, transform, and load data from multiple sources.
Develop complex SQL queries, stored procedures, and optimize database performance.
Build data processing solutions using Python, PySpark, and Spark.
Work with cloud platforms such as AWS, Azure, or Google Cloud Platform (Google Cloud Platform).
Develop and maintain data warehouses, data lakes, and lakehouse architectures.
Implement data integration, data transformation, data cleansing, and data validation processes.
Work with big data technologies such as Apache Spark, Hadoop, Kafka, and Databricks.
Schedule, monitor, and troubleshoot data pipelines using orchestration tools such as Apache Airflow.
Collaborate with Data Analysts, Data Scientists, BI Developers, and business stakeholders.
Ensure data quality, data security, performance optimization, and pipeline reliability.

Required Technical Skills

Skill	Required Experience
Data Engineering	5–6 years
SQL	Strong hands-on experience
Python	Strong programming skills
ETL/ELT	Hands-on experience
Apache Spark / PySpark	Good experience
Cloud (AWS/Azure/Google Cloud Platform)	Experience in at least one
Data Warehousing	Good understanding
Apache Airflow	Preferred
Databricks	Preferred
Kafka	Good to have
Git / CI/CD	Working knowledge