Data Engineer
Contract W2
Remote
Depends on Experience
Dahl Consulting
Fitment
Dice Job Match Score™
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Job Details
Skills
Summary
Title: Data Engineer
Location: Remote
Job Type: Contract (6 months)
Compensation: $67.00 - $83.00 per hour (W2)
Industry: Retail
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About the Role
Our firm is seeking a Data Engineer on behalf of a leading national retail organization that leverages advanced cloud technologies, big data platforms, and analytics to drive business decisions across a large-scale enterprise environment. This role will focus on designing and building scalable data solutions that support high-volume data processing, reporting, and analytics initiatives. The ideal candidate is passionate about modern data engineering practices, cloud-based architectures, and delivering reliable, production-grade data pipelines.
Job Description
As a Data Engineer, you will be responsible for developing, optimizing, and supporting large-scale data ecosystems that power critical business functions. You will collaborate with cross-functional teams to design and implement scalable data solutions using modern cloud and big data technologies.
Key Responsibilities
Qualifications
Required Qualifications
Benefits
Dahl Consulting is proud to offer a comprehensive benefits package to eligible employees that will allow you to choose the best coverage to meet your family’s needs. For details, please review the DAHL Benefits Summary: .
How to Apply
Take the first step on your new career path! To submit yourself for consideration for this role, simply click the apply button and complete our mobile-friendly online application. Once we’ve reviewed your application details, a recruiter will reach out to you with next steps!
Equal Opportunity Statement
As an equal opportunity employer, Dahl Consulting welcomes candidates of all backgrounds and experiences to apply. If this position sounds like the right opportunity for you, we encourage you to take the next step and connect with us. We look forward to meeting you!
#LI-LS1
#LI-Remote
Location: Remote
Job Type: Contract (6 months)
Compensation: $67.00 - $83.00 per hour (W2)
Industry: Retail
---
About the Role
Our firm is seeking a Data Engineer on behalf of a leading national retail organization that leverages advanced cloud technologies, big data platforms, and analytics to drive business decisions across a large-scale enterprise environment. This role will focus on designing and building scalable data solutions that support high-volume data processing, reporting, and analytics initiatives. The ideal candidate is passionate about modern data engineering practices, cloud-based architectures, and delivering reliable, production-grade data pipelines.
As a Data Engineer, you will be responsible for developing, optimizing, and supporting large-scale data ecosystems that power critical business functions. You will collaborate with cross-functional teams to design and implement scalable data solutions using modern cloud and big data technologies.
Key Responsibilities
- Design, develop, test, and maintain scalable ETL/ELT pipelines for high-volume datasets.
- Build and optimize distributed data processing solutions using Apache Spark and Google Cloud Dataproc.
- Develop and maintain analytical datasets and data processing workloads within BigQuery.
- Create reliable batch and streaming data processing solutions utilizing technologies such as Spark, Hadoop, and Kafka.
- Design and implement data ingestion and transformation pipelines across source systems, data lakes, and analytical platforms.
- Optimize Spark and BigQuery workloads for performance, scalability, reliability, and cost efficiency.
- Monitor, troubleshoot, and support production data pipelines, performing root-cause analysis and implementing long-term solutions.
- Implement data quality frameworks, monitoring, logging, alerting, and operational controls.
- Apply software engineering and DevOps best practices, including source control, automated testing, CI/CD, and deployment automation.
- Partner with architects, platform engineers, application teams, and business stakeholders to gather requirements and deliver enterprise-grade data solutions.
- Participate in code reviews and contribute to reusable frameworks, standards, and engineering best practices.
Required Qualifications
- Strong hands-on experience in Data Engineering with a proven track record of building production-grade data pipelines.
- Expertise in ETL/ELT development methodologies and data integration processes.
- Hands-on experience with Google Cloud Platform (Google Cloud Platform).
- Strong experience with BigQuery, including SQL development, query optimization, and performance tuning.
- Experience developing distributed data processing applications using Apache Spark.
- Experience with Google Cloud Platform Dataproc.
- Experience working with Hadoop ecosystems, including Apache Hadoop and Apache Hive.
- Experience with Apache Kafka or other streaming technologies.
- Strong SQL skills and experience processing large-scale datasets.
- Proficiency in Python and/or Java/Scala.
- Understanding of data modeling concepts, partitioning strategies, distributed computing, and common data storage formats.
- Experience with DevOps practices, Git, CI/CD pipelines, automated deployments, and production support.
- Strong analytical, troubleshooting, and problem-solving abilities.
- Experience with Looker and/or LookML.
- Familiarity with Google Cloud Storage (GCS), BigLake, Apache Iceberg, Hive, and Parquet.
- Experience using Terraform or other Infrastructure-as-Code (IaC) solutions.
- Experience designing and supporting Kafka-based streaming architectures.
- Experience migrating data platforms from on-premises Hadoop/Hive environments to Google Cloud Platform.
- Background in large-scale data lake modernization or enterprise data platform transformation initiatives.
- Knowledge of data governance, data quality, lineage, metadata management, and related best practices.
Dahl Consulting is proud to offer a comprehensive benefits package to eligible employees that will allow you to choose the best coverage to meet your family’s needs. For details, please review the DAHL Benefits Summary: .
Take the first step on your new career path! To submit yourself for consideration for this role, simply click the apply button and complete our mobile-friendly online application. Once we’ve reviewed your application details, a recruiter will reach out to you with next steps!
As an equal opportunity employer, Dahl Consulting welcomes candidates of all backgrounds and experiences to apply. If this position sounds like the right opportunity for you, we encourage you to take the next step and connect with us. We look forward to meeting you!
#LI-LS1
#LI-Remote
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: 10109792
- Position Id: 30211
- Posted 1 hour ago
Company Info
Since 1993, Dahl Consulting has been a leader in providing and implementing adaptive staffing and workforce solutions for its clients. DAHL specializes in workforce process management, vendor management services, as well as sourcing and staffing services. Their workforce solutions and programs ensure clients have the right people, the right process, and the right relationships, all at the right cost. DAHL s size and service offerings enable them the flexibility to provide simple and affordable solutions adaptable to any enterprise s current program, as well as future growth. Visit www.dahlconsulting.com for more information.
The mission of Dahl Consulting is to assist businesses with the creation, delivery, and support of new and existing systems to improve their level of performance through one or a combination of our service offerings. Our core competency is managing the process of procuring contract and temporary labor by finding creative ways to maximize the efficiency and effectiveness of the customer's contingent labor program.
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