Data Engineer

ConglomerateIT; United States; Remote; USD 125,000 - 150,000; Full time

Job summary

ConglomerateIT is seeking a skilled Data Engineer for a remote contract position focused on migrating data from Teradata to Google Cloud Platform. The candidate will manage high standards of data quality and collaborate with cloud engineers and business stakeholders to optimize data processes. A strong background in ETL development and SQL tuning is required, making this an excellent opportunity for someone looking to leverage their expertise in a dynamic environment.

Qualifications

• Proven experience in enterprise-level data migrations.
• Hands-on expertise in modern cloud data services.
• Experience with GCP services, especially BigQuery and Cloud Storage.

Responsibilities

• Spearhead migration of data from Teradata to GCP BigQuery.
• Build and maintain efficient ETL/ELT pipelines.
• Collaborate with stakeholders to ensure data transformation.

Skills

ETL development

Data modeling

SQL tuning

Data governance

Cloud data services

Education

Bachelor's degree in Computer Science or related field

Tools

Google Cloud Platform

Apache Beam

Cloud Dataflow

Job description

3 days ago Be among the first 25 applicants

This range is provided by ConglomerateIT. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$43.00/hr - $48.00/hr

Direct message the job poster from ConglomerateIT

Talent Acquisition specialist | ConglomerateIT | Connecting Top Talent with Opportunities | Avid Reader and Knowledge Enthusiast |

Role: Data Engineer (Teradata to GCP Migration)

Location: Remote

Job Type: Contract

Tax Term: W2/1099

About us:

Conglomerate IT is a certified and a pioneer in providing premium end-to-end Global Workforce Solutions and IT Services to diverse clients across various domains. Visit us at https://www.conglomerateit.com/

Conglomerate IT mission is to establish global cross culture human connections that further the careers of our employees and strengthen the businesses of our clients. We are driven to use the power of global network to connect business with the right people without bias. We provide Global Workforce Solutions with affability.

Job Description:

We are seeking a skilled Data Engineer with proven experience in enterprise-level data migrations, particularly from Teradata to Google Cloud Platform (GCP). This role requires hands-on expertise in modern cloud data services, data modeling, and performance optimization.

Primary Responsibilities:

• Spearhead the end-to-end migration of data systems from Teradata to GCP BigQuery, maintaining high standards of data quality, performance, and reliability throughout the process.
• Build and maintain efficient ETL/ELT pipelines using tools such as Cloud Dataflow, Apache Beam, or Cloud Data Fusion.
• Work collaboratively with cloud engineers to uphold security, compliance, and cost-efficiency across GCP infrastructure.
• Optimize SQL queries and workloads in both Teradata and BigQuery to ensure high performance at scale.
• Collaborate with business stakeholders, analysts, and data architects to capture requirements and ensure accurate data transformation.
• Document technical workflows and implement testing procedures to validate successful data migration.
• Troubleshoot and resolve migration-related issues such as data mismatches, platform compatibility problems, and performance bottlenecks.

Core Skill Requirements:

• Advanced, hands-on experience with Teradata, including complex SQL tuning and handling large-scale datasets.
• In-depth familiarity with GCP services, especially BigQuery, Cloud Storage, Pub/Sub, and Dataflow.
• Strong knowledge of ETL development using Python, SQL, and GCP-native tools.
• Sound understanding of data governance, data quality standards, and data modeling principles.

Nice to Have:

• Working experience with orchestration tools like Cloud Composer, Apache Airflow, or Apache Beam.
• Familiarity with DevOps practices and CI/CD pipelines for automating data workflows.
• Awareness of cloud data security protocols and compliance frameworks such as HIPAA and GDPR.
• Possession of the Google Cloud Professional Data Engineer certification is an added advantage.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Other

• Industries

  IT Services and IT Consulting

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