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Senior Cloud/ETL Engineer

Raas Infotek LLC

Remote • Today

Easy Apply

Contract

Depends on Experience

Senior Cloud ETL Developer

Apex Systems

Plano, Texas • Today

Easy Apply

Full-time

$65 - $75 per hour

Sr Cloud ETL Developer

North Texas Tollway Authority

No location provided • Today

Full-time

USD 111,525.00 - 146,744.00 per year

Sr. DevOps/Data Engineer with strong ETL Data pipeline experience

ITECS

Coopersburg, Pennsylvania • 6d ago

Easy Apply

Third Party

W2 Role : Sr. Big Data & ETL Test Engineer

Wise Skulls Corp.

Hybrid in Chicago, Illinois • 6d ago

Easy Apply

Contract

Depends on Experience

Senior Business Intelligence Engineer (Oracle, PostgreSQL, SQL, Databricks, Power BI, ETL)/Data Engineer (Senior ETL Developer)

VDart, Inc.

Juno Beach, Florida • 8d ago

Easy Apply

Contract, Third Party

Depends on Experience

Full Time Job for Senior ETL & SQL Developer

Tryfacta

Hybrid in Thornton, Colorado • 7d ago

Easy Apply

Full-time

$99978 - $149968

Senior Cloud Engineer

Stefanini

Richmond, Virginia • Today

Easy Apply

Contract

$85 - $90 /hr

Senior Data/ETL Engineer

Accenture LLP

Washington, District of Columbia • Today

Full-time

USD 86,400.00 - 176,200.00 per year

Senior Cloud Data Engineer - Hybrid

MSYS Inc.

Hybrid in Raleigh, North Carolina • Yesterday

Easy Apply

Contract

Depends on Experience

Cloud Data Engineer/Systems Analyst (Snowflake & Informatica ETL)- $119 CTC - HYBRID (CURRENT TX LOCALS ONLY)

Chandra Technologies, Inc.

Hybrid in Austin, Texas • 2d ago

Easy Apply

Contract, Third Party

Depends on Experience

Senior Data Engineer

APN Consulting Inc

Linden, Pennsylvania • 13d ago

Easy Apply

Contract, Third Party

Depends on Experience

Informatica ETL/Data Engineer

Allied Consultants, Inc.

Hybrid in Austin, Texas • 2d ago

Easy Apply

Third Party, Contract

Depends on Experience

Senior Salesforce Data Cloud Engineer

Vaco by Highspring

Hybrid in Durham, North Carolina • 15d ago

Easy Apply

Full-time

Depends on Experience

Senior Data Engineer – ETL | SQL | AWS | Spark - Inperson Interview

HPTech Inc.

Denver, Colorado • Today

Easy Apply

Contract

Depends on Experience

Senior Software Engineer

Innova Solutions, Inc

Charlotte, North Carolina • 5d ago

Easy Apply

Contract

Depends on Experience

Senior SDET ETL & Databricks Testing

Oraapps Inc

Hybrid in Shelton, Connecticut • Yesterday

Easy Apply

Contract

Depends on Experience

Lead ETL Engineer

Tranzeal, Inc.

Hybrid in Los Angeles, California • 5d ago

Easy Apply

Contract

Depends on Experience

Sr. Data Analyst – ETL, SQL, AWS Glue

Mavensoft Technologies, LLC

Hybrid in Portland, Oregon • Today

Easy Apply

Third Party, Contract

65 - 72

Senior ETL Tester (Automation & AI Exposure)

Source Code Technologies LLC

Quincy, Massachusetts • 29d ago

Easy Apply

Contract

Depends on Experience

Senior ETL Test Engineer

UnitedHealth Group

Raleigh, North Carolina • Today

Full-time

USD 91,700.00 - 163,700.00 per year

Senior Cloud Engineer

AMH

Hybrid in Las Vegas, Nevada • 28d ago

Full-time

Depends on Experience

Senior AWS Data Engineer

System One

Pittsburgh, Pennsylvania • 19d ago

Easy Apply

Full-time

$136500

Cloud Data Engineer

Primary Talent Partners

Charlotte, North Carolina • 7d ago

Easy Apply

Contract

$81 - $91

Senior Cloud Engineer IS - Hybrid

Providence Health & Services

Redmond, Washington • 9d ago

Full-time

USD 49.36 - 84.05 per hour

Senior Analytics Engineer

INSPYR Solutions

Remote • 9d ago

Easy Apply

Contract

$65 - $70

Senior Full Stack Engineer

Strategic Staffing Solutions

Charlotte, North Carolina • Today

Easy Apply

Contract

USD0 - USD0

Sr Data Developer (ETL)

Excelacom

Greenwood Village, Colorado • 6d ago

Full-time

90000 - 115000

Sr. Data Engineer

Advanced Tech Placement

Hybrid in Parsippany-Troy Hills, New Jersey • 9d ago

Easy Apply

Contract

Depends on Experience

Security Engineer with ETL Pipelines in Charlotte NC or Dallas TX

Alltech Consulting Services, Inc.

Dallas, Texas • Yesterday

Easy Apply

Contract

$60 - $65

Job Details

Skills

Apache Airflow
Terraform
Workflow
Scalability
Snow Flake Schema
Step-Functions
Problem Solving
Python
Real-time
Regulatory Compliance
SQL
MongoDB
NoSQL
Orchestration
PL/SQL
PostgreSQL
Presentations
Kubernetes
Mentorship
Microsoft Azure
Microsoft SSIS
Migration
IBM InfoSphere DataStage
IT Management
Informatica
Jenkins
Scala
Google Cloud
Google Cloud Platform
Health Insurance
High Availability
Electronic Health Record (EHR)
Extract, Transform, Load
Flat File
Git
Datastage
DevOps
Dimensional Modeling
Docker
ELT
Finance
Data Processing
Data Warehouse
Database
Databricks
Java
Streaming
Data Architecture
Data Engineering
Data Flow
Data Governance
Data Quality
Conflict Resolution
Continuous Delivery
Continuous Integration
Talend
BMC Control-M
Cloud Computing
Communication
Data Analysis
Apache Cassandra
Amazon Kinesis
Amazon Redshift
Amazon S3
Amazon Web Services
Apache Hadoop
Apache Kafka
Apache Spark
Big Data

Apache Airflow
Terraform
Workflow
Scalability
Snow Flake Schema
Step-Functions
Problem Solving
Python
Real-time
Regulatory Compliance
SQL
MongoDB
NoSQL
Orchestration
PL/SQL
PostgreSQL
Presentations
Kubernetes
Mentorship
Microsoft Azure
Microsoft SSIS
Migration
IBM InfoSphere DataStage
IT Management
Informatica
Jenkins
Scala
Google Cloud
Google Cloud Platform
Health Insurance
High Availability
Electronic Health Record (EHR)
Extract, Transform, Load
Flat File
Git
Datastage
DevOps
Dimensional Modeling
Docker
ELT
Finance
Data Processing
Data Warehouse
Database
Databricks
Java
Streaming
Data Architecture
Data Engineering
Data Flow
Data Governance
Data Quality
Conflict Resolution
Continuous Delivery
Continuous Integration
Talend
BMC Control-M
Cloud Computing
Communication
Data Analysis
Apache Cassandra
Amazon Kinesis
Amazon Redshift
Amazon S3
Amazon Web Services
Apache Hadoop
Apache Kafka
Apache Spark
Big Data

Summary

Job Title: Senior ETL / Cloud Data Engineer

Experience: 11+ Years

Employment Type: Full-Time(Contract W2)

About the Role

We are seeking a highly experienced Senior ETL/Cloud Data Engineer to design, build, and optimize scalable data pipelines and cloud-based data platforms. The ideal candidate has a strong background in ETL development, cloud data architecture, and large-scale data processing, with a proven ability to lead technical initiatives and mentor junior engineers.

Key Responsibilities

Design, develop, and maintain robust, scalable ETL/ELT pipelines to support batch and real-time data processing needs
Architect and implement cloud-based data solutions on AWS/Azure/Google Cloud Platform, including data lakes, data warehouses, and lakehouse platforms
Lead the migration of legacy on-premise ETL systems to modern cloud-native architectures
Build and optimize data ingestion frameworks from diverse sources (databases, APIs, streaming platforms, flat files)
Design and maintain data models, schemas, and data warehousing solutions (Star/Snowflake schema, dimensional modeling)
Ensure data quality, integrity, and governance across pipelines through validation, monitoring, and automated testing
Collaborate with data architects, analysts, data scientists, and business stakeholders to understand requirements and deliver solutions
Optimize pipeline performance, cost efficiency, and scalability of cloud data infrastructure
Implement CI/CD pipelines for data engineering workflows using DevOps best practices
Establish and enforce data engineering best practices, coding standards, and documentation
Troubleshoot and resolve complex data pipeline issues, ensuring high availability and reliability
Mentor junior and mid-level data engineers; conduct code reviews and provide technical guidance
Stay current with emerging cloud technologies, tools, and industry trends

Required Skills & Qualifications

11+ years of overall experience in data engineering, with significant hands-on ETL and cloud experience
Strong expertise in ETL tools such as Informatica, Talend, SSIS, DataStage, or similar
Deep hands-on experience with at least one major cloud platform: AWS (Glue, Redshift, S3, Lambda, EMR), Azure (Data Factory, Synapse, Databricks), or Google Cloud Platform (Dataflow, BigQuery, Dataproc)
Proficiency in SQL and at least one programming language (Python, Scala, or Java)
Experience with big data technologies: Spark, Hadoop, Kafka, Hive
Strong understanding of data warehousing concepts, dimensional modeling, and data architecture principles
Experience with orchestration tools (Apache Airflow, Control-M, AWS Step Functions, etc.)
Familiarity with CI/CD tools (Jenkins, Git, Azure DevOps) and Infrastructure as Code (Terraform, CloudFormation)
Solid understanding of database systems (both relational and NoSQL — Oracle, SQL Server, PostgreSQL, MongoDB, Cassandra)
Experience with data governance, security, and compliance practices
Excellent problem-solving skills and ability to work in a fast-paced, evolving environment
Strong communication skills with experience presenting to technical and non-technical stakeholders

Preferred Qualifications

Cloud certifications (AWS Certified Data Analytics, Azure Data Engineer Associate, Google Cloud Platform Professional Data Engineer)
Experience with real-time streaming architectures (Kafka, Kinesis, Event Hubs)
Exposure to containerization and orchestration (Docker, Kubernetes)
Experience in a regulated industry (finance, healthcare, insurance) is a plus
Prior experience leading a team or serving as a technical lead

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: 10477291
Position Id: 9087213
Posted 1 hour ago

Fitment

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Job Details

Skills

Apache Airflow
Terraform
Workflow
Scalability
Snow Flake Schema
Step-Functions
Problem Solving
Python
Real-time
Regulatory Compliance
SQL
MongoDB
NoSQL
Orchestration
PL/SQL
PostgreSQL
Presentations
Kubernetes
Mentorship
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Microsoft SSIS
Migration
IBM InfoSphere DataStage
IT Management
Informatica
Jenkins
Scala
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Google Cloud Platform
Health Insurance
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Extract, Transform, Load
Flat File
Git
Datastage
DevOps
Dimensional Modeling
Docker
ELT
Finance
Data Processing
Data Warehouse
Database
Databricks
Java
Streaming
Data Architecture
Data Engineering
Data Flow
Data Governance
Data Quality
Conflict Resolution
Continuous Delivery
Continuous Integration
Talend
BMC Control-M
Cloud Computing
Communication
Data Analysis
Apache Cassandra
Amazon Kinesis
Amazon Redshift
Amazon S3
Amazon Web Services
Apache Hadoop
Apache Kafka
Apache Spark
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Apache Airflow
Terraform
Workflow
Scalability
Snow Flake Schema
Step-Functions
Problem Solving
Python
Real-time
Regulatory Compliance
SQL
MongoDB
NoSQL
Orchestration
PL/SQL
PostgreSQL
Presentations
Kubernetes
Mentorship
Microsoft Azure
Microsoft SSIS
Migration
IBM InfoSphere DataStage
IT Management
Informatica
Jenkins
Scala
Google Cloud
Google Cloud Platform
Health Insurance
High Availability
Electronic Health Record (EHR)
Extract, Transform, Load
Flat File
Git
Datastage
DevOps
Dimensional Modeling
Docker
ELT
Finance
Data Processing
Data Warehouse
Database
Databricks
Java
Streaming
Data Architecture
Data Engineering
Data Flow
Data Governance
Data Quality
Conflict Resolution
Continuous Delivery
Continuous Integration
Talend
BMC Control-M
Cloud Computing
Communication
Data Analysis
Apache Cassandra
Amazon Kinesis
Amazon Redshift
Amazon S3
Amazon Web Services
Apache Hadoop
Apache Kafka
Apache Spark
Big Data

Summary

Job Title: Senior ETL / Cloud Data Engineer

Experience: 11+ Years

Employment Type: Full-Time(Contract W2)

About the Role

Key Responsibilities

Design, develop, and maintain robust, scalable ETL/ELT pipelines to support batch and real-time data processing needs
Architect and implement cloud-based data solutions on AWS/Azure/Google Cloud Platform, including data lakes, data warehouses, and lakehouse platforms
Lead the migration of legacy on-premise ETL systems to modern cloud-native architectures
Build and optimize data ingestion frameworks from diverse sources (databases, APIs, streaming platforms, flat files)
Design and maintain data models, schemas, and data warehousing solutions (Star/Snowflake schema, dimensional modeling)
Ensure data quality, integrity, and governance across pipelines through validation, monitoring, and automated testing
Collaborate with data architects, analysts, data scientists, and business stakeholders to understand requirements and deliver solutions
Optimize pipeline performance, cost efficiency, and scalability of cloud data infrastructure
Implement CI/CD pipelines for data engineering workflows using DevOps best practices
Establish and enforce data engineering best practices, coding standards, and documentation
Troubleshoot and resolve complex data pipeline issues, ensuring high availability and reliability
Mentor junior and mid-level data engineers; conduct code reviews and provide technical guidance
Stay current with emerging cloud technologies, tools, and industry trends

Required Skills & Qualifications

11+ years of overall experience in data engineering, with significant hands-on ETL and cloud experience
Strong expertise in ETL tools such as Informatica, Talend, SSIS, DataStage, or similar
Deep hands-on experience with at least one major cloud platform: AWS (Glue, Redshift, S3, Lambda, EMR), Azure (Data Factory, Synapse, Databricks), or Google Cloud Platform (Dataflow, BigQuery, Dataproc)
Proficiency in SQL and at least one programming language (Python, Scala, or Java)
Experience with big data technologies: Spark, Hadoop, Kafka, Hive
Strong understanding of data warehousing concepts, dimensional modeling, and data architecture principles
Experience with orchestration tools (Apache Airflow, Control-M, AWS Step Functions, etc.)
Familiarity with CI/CD tools (Jenkins, Git, Azure DevOps) and Infrastructure as Code (Terraform, CloudFormation)
Solid understanding of database systems (both relational and NoSQL — Oracle, SQL Server, PostgreSQL, MongoDB, Cassandra)
Experience with data governance, security, and compliance practices
Excellent problem-solving skills and ability to work in a fast-paced, evolving environment
Strong communication skills with experience presenting to technical and non-technical stakeholders

Preferred Qualifications

Cloud certifications (AWS Certified Data Analytics, Azure Data Engineer Associate, Google Cloud Platform Professional Data Engineer)
Experience with real-time streaming architectures (Kafka, Kinesis, Event Hubs)
Exposure to containerization and orchestration (Docker, Kubernetes)
Experience in a regulated industry (finance, healthcare, insurance) is a plus
Prior experience leading a team or serving as a technical lead

Dice Id: 10477291
Position Id: 9087213
Posted 1 hour ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Create job alert

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Similar Jobs

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