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Data Engineer Consultant Jobs (NOW HIRING)

Saigepartners

Data Engineer

Champaign, IL · On-site

$125/hr

Collaborate with engineers, data scientists, consultants, and business stakeholders to improve data accessibility and usability. * Implement modern software engineering best practices including ...

Purple Drive

Prophecy MDM & Power BI Data Engineer

Hardin, IL · On-site

$103K - $124K/yr

Job Title Prophecy MDM & Power BI Data Engineer / Data Consultant Role Summary We are seeking an experienced Prophecy MDM & Power BI Data Engineer / Consultant to design, develop, and implement ...

KLANIK

Data Engineer

Miami, FL · On-site

$110K - $133K/yr

About us KLANIK is an IT Engineering consulting company that supports its clients in their digital ... We are looking for a Data Engineer to design, build, and maintain a scalable and reliable data ...

SDG Group

Data Engineering Consultant

Bedminster, NJ · On-site

Position Overview As a Data Engineer , you will play an important role in designing, developing, and delivering modern data solutions for SDG Group's clients. Working as part of a consulting delivery ...

SDG Group

Data Engineering Consultant

Bedminster, NJ · On-site

Position Overview As a Data Engineer , you will play an important role in designing, developing, and delivering modern data solutions for SDG Group's clients. Working as part of a consulting delivery ...

Prophecy Technologies

Prophecy Power BI Data Engineer

$117K - $140K/yr

We are seeking a skilled Data Engineer/Consultant to design and build end-to-end Power BI reporting solutions on top of the Prophecy (MDM/RDM) platform. This role is crucial for enabling hierarchical ...

NAVA Software Solutions

Data Engineer - Remote

Manhattan, NY · On-site +1

$126K - $151K/yr

Provide data engineering consulting expertise, especially in Starburst and Immuta. * Support data migration activities. Key Deliverables : * Completion of assigned stories, including design, data ...

GFT TECHNOLOGIES SE

NY · On-site

Expert Data Consultant Date: Jul 6, 2026 Location: Łódź, PL, 90-118 Kraków, PL, 30-302 Poznań ... Hands‑on experience with cloud data engineering tools, preferably in GCP * Experience with DBT ...

ProSidian Consulting

Data Engineer

Alexandria, VA · Hybrid

$122K - $147K/yr

Launched by Management Consultants, our multidisciplinary teams bring together the talents of ... ProSidian.com ProSidian Seeks a Data Engineer | Workforce Planning & Strategic Human Capital ...

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How much do data engineer consultant jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for data engineer consultant in the United States is $44.89, according to ZipRecruiter salary data. Most workers in this role earn between $30.29 and $60.10 per hour, depending on experience, location, and employer.

What is a data engineer consultant?

A Data Engineer Consultant designs, builds, and optimizes data pipelines and infrastructure to help organizations manage and analyze their data efficiently. They work with various technologies, such as databases, cloud platforms, and big data tools, to ensure data is accessible, reliable, and well-structured. Additionally, they provide strategic guidance on best practices, scalability, and performance tuning. Their role blends technical expertise with advisory responsibilities to help businesses make data-driven decisions.

What are the typical responsibilities of a data engineer consultant on a client project?

As a Data Engineer Consultant, your daily tasks often involve analyzing client data requirements, designing and building scalable data architectures, and developing ETL processes to ensure high-quality data flow. You will frequently collaborate with client stakeholders, data scientists, and other IT professionals to understand business needs and implement effective solutions. In addition, you may be responsible for troubleshooting data issues, optimizing performance, and providing technical guidance during deployments. This dynamic role provides opportunities to work on varied projects, expand your expertise with new tools, and contribute directly to clients’ data-driven strategies.

What are the key skills and qualifications needed to thrive in the data engineer consultant position, and why are they important?

To thrive as a Data Engineer Consultant, you need strong skills in data modeling, ETL pipeline development, database management, and proficiency in programming languages like Python or SQL, usually backed by a degree in computer science or a related field. Familiarity with big data platforms (such as Hadoop or Spark), cloud services (AWS, Azure, GCP), and certifications in these tools are highly valued. Excellent problem-solving, communication, and client management skills help you design effective solutions and convey complex technical concepts to stakeholders. These competencies ensure you can build robust data infrastructures that support business objectives across diverse client environments.

What does a data engineer consultant do?

A data engineer consultant designs, builds, and maintains data pipelines and infrastructure to ensure efficient data collection, storage, and processing. They work with tools like SQL, Python, and cloud platforms, and often collaborate with data scientists and analysts to optimize data workflows and support business decision-making.
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Data Engineer Consultant jobs near you
Infographic showing various Data Engineer Consultant job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $93,381 per year, or $44.9 per hour.

GCP Data Engineer Python & SQL C2C jobs in New York, NY

Manhattan, NY • On-site

Tech Mirrors
See more jobs at Tech Mirrorsexternal

$126K - $151K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

GCP Data Engineer Python & SQL

Location: NY Onsite

Contract

About the Role

The Senior Data Engineer Consultant is responsible for designing, building, and optimizing scalable data pipelines and architectures that deliver high‑quality, reliable, and governed data for analytics and decision‑making. In this role you will closely collaborate with product analytics and infrastructure teams to create automated, maintainable, and high‑performing data systems within cloud environments. Success in this position requires deep technical expertise in data modeling, data engineering design patterns, and cloud‑native technologies. The ideal candidate demonstrates a strong architectural mindset, maintains exceptional coding standards, and possesses excellent written and verbal communication skills to enable effective collaboration with both engineering and business stakeholders.

Key Responsibilities
  • Design, develop, and maintain scalable GCP data pipelines using BigQuery, Dataflow, and Pub/Sub.
  • Architect efficient ETL/ELT processes and data modeling using star, snowflake, and data vault techniques.
  • Collaborate with analytics teams to optimize data ingestion, transformation, and storage.
  • Implement Apache Airflow/Cloud Composer orchestration for complex workflows.
  • Develop monitoring, alerting, and data quality frameworks.
  • Conduct code reviews and create comprehensive technical documentation.
  • Build automated testing and validation pipelines.
Required Qualifications
  • Bachelor's or Master's in CS, Data Engineering, or related field.
  • 7 years of data engineering experience.
  • 5 years of hands‑on GCP experience.
  • Expertise in Python, advanced SQL, BigQuery, Dataflow, and Apache Airflow/Cloud Composer orchestration.
  • Strong data modeling and design pattern knowledge.
  • Docker and Kubernetes deployment experience.
  • Exceptional communication skills.
Preferred Qualifications
  • Google Cloud Professional Data Engineer certification.
  • Databricks and Apache Beam experience.
  • Media/entertainment or enterprise analytics experience.
  • Experience with Atlassian tools (Jira, Confluence).
What Makes You Successful Here

Communicate clearly across audiences, own end‑to‑end GCP pipeline delivery, document comprehensively for handover, and drive independently while collaborating.

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