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Offshore Data Analytics Jobs in Addison, TX (NOW HIRING)

Senior Data Engineer

Dallas, TX · On-site

$104K - $142K/yr

Production experience with Azure Data Factory, Azure Synapse Analytics, or Databricks at scale * Experience leading or managing data engineering teams - including offshore or distributed resources

Extract and analyze the 30-day historian pull - identify operating modes, load patterns, seasonal ... Train the offshore Data Scientist on site-specific tuning decisions so they can handle * Wave 2 ...

Data Architect _US

Dallas, TX

$63 - $81/hr

Position Data Architect Experience 10+ years Location Offshore (working closely with onshore ... Snowflake, DOMO - Analytics and Reporting is a must The candidate will act as a technical lead ...

Data Architect _US

Dallas, TX · On-site

$63 - $81/hr

Position Data Architect Experience 10+ years Location Offshore (working closely with onshore ... Snowflake, DOMO - Analytics and Reporting is a must The candidate will act as a technical lead ...

Scrum Master - Project Delivery Analyst

Dallas, TX · Hybrid

$51 - $68/hr

... a Data & Analytics Foundry staff augmentation program supporting numerous business product teams (approx. 235 resources across onshore and offshore). * Facilitate SAFe/Agile team ceremonies and ...

Project - Data Engineer II

Dallas, TX · On-site

$113K - $136K/yr

... offshore). Your focus will be on delivering reliable, performant, and cost-effective data pipelines and curated datasets to enable analytics and downstream applications. * Design, build, and support ...

Project - Data Engineer II

Fort Worth, TX · On-site

$109K - $131K/yr

... offshore). Your focus will be on delivering reliable, performant, and cost-effective data pipelines and curated datasets to enable analytics and downstream applications. * Design, build, and support ...

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Offshore Data Analytics information

See Addison, TX salary details

$23

$52

$91

How much do offshore data analytics jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for offshore data analytics in Addison, TX is $53.00, according to ZipRecruiter salary data. Most workers in this role earn between $42.60 and $60.05 per hour, depending on experience, location, and employer.

What is the difference between Offshore Data Analytics vs Data Analyst?

AspectOffshore Data AnalyticsData Analyst
CredentialsBachelor's in Data Science, Analytics, or related field; often requires certifications like CAP, Microsoft Certified Data AnalystBachelor's in Data Science, Statistics, or related field; certifications are optional
Work EnvironmentRemote or offshore office settings, often in outsourcing hubsOn-site or remote within a company's office
Employer & IndustryOutsourcing companies, multinational corporations, consulting firmsCorporations, government agencies, financial institutions
Common Search & ComparisonYesYes

Offshore Data Analytics involves analyzing data remotely, often for multiple clients or companies, typically within outsourcing or consulting environments. Data Analysts usually work directly within a company's team, focusing on internal data. While both roles require similar skills and certifications, Offshore Data Analytics emphasizes remote, outsourced work, whereas Data Analysts are embedded within organizations.

What are popular job titles related to Offshore Data Analytics jobs in Addison, TX? For Offshore Data Analytics jobs in Addison, TX, the most frequently searched job titles are:
What job categories do people searching Offshore Data Analytics jobs in Addison, TX look for? The top searched job categories for Offshore Data Analytics jobs in Addison, TX are:
What cities near Addison, TX are hiring for Offshore Data Analytics jobs? Cities near Addison, TX with the most Offshore Data Analytics job openings:

Senior Data Engineer

BravoTech

Dallas, TX • On-site

$104K - $142K/yr

Contractor

Re-posted 28 days ago


Job description


Our Dallas based manufacturing client is looking for a Senior Data Engineer.
The RoleThis is a hands-on lead role with domain ownership. You will set the engineering standard, direct onsite and offshore resources, and be the primary interface between the data platform and business stakeholders in finance and operations. The right person acts before being asked and builds systems and processes for the team.
The right person is someone who is most comfortable when they are close to the work, reviewing pipelines, making architecture calls, and writing code alongside the team, while also being able to step back and set the direction for how data engineering should operate for the next three to five years.What You Will OwnDomain ownership
  • Define and maintain data engineering strategy, architecture standards, and best practices
  • Own the data engineering roadmap, sequencing, prioritization, and alignment with the broader data and AI program
  • Establish engineering patterns for ingestion, transformation, and delivery across the Microsoft Fabric platform
  • Own data pipeline reliability, observability, and incident response across operational and reporting systems
  • Drive the transition from the legacy Azure data stack to a Microsoft Fabric-native architecture

Team and resource management
  • Manage a blended team of onsite and offshore data engineers - setting expectations, reviewing work, and developing capability
  • Define the operating model for how onsite and offshore resources collaborate - sprint structure, review cadences, quality gates
  • Own knowledge transfer and documentation standards - ensuring institutional knowledge is captured and distributed across the team
  • Partner with the Head of Data, Analytics and AI on hiring decisions, contractor sourcing, and team structure

Hands-on delivery
  • Design, build, and optimize production data pipelines across Azure Data Factory, Databricks, and Microsoft Fabric
  • Own the data architecture for medallion platform - Bronze, Silver, and Gold layers, semantic modeling, and DirectLake reporting
  • Support Power BI reporting infrastructure and serve as the engineering lead for report rationalization and migration
  • Participate in governance and architecture design reviews, providing technical input on data platform decisions
What We Are Looking ForRequired
  • 8+ years of hands-on data engineering experience in the Microsoft Azure ecosystem
  • Strong SQL and data modeling fundamentals - you can design a schema and debug a complex query yourself
  • Production experience with Azure Data Factory, Azure Synapse Analytics, or Databricks at scale
  • Experience leading or managing data engineering teams - including offshore or distributed resources
  • Ability to set technical direction: you have defined standards, written best practice documentation, or built engineering frameworks others follow
  • Strong documentation discipline and a track record of reducing single points of failure through knowledge transfer
  • Onsite availability in Dallas, TX from day one

Strong preference
  • Hands-on experience with or active exploration of Microsoft Fabric - certifications, personal projects, or production exposure all count
  • Familiarity with Dynamics 365 F&O data architecture and how ERP data flows into downstream reporting and analytics layers
  • Experience managing a transition between a legacy data stack and a modern cloud-native platform

Meet Your Recruiter
Hailey Pacha
Text me about this job - 972-419-1627
Please include your name and Job Title in your Text.
Thanks!
  • 972-419-1627
  • hpacha@bravotech.com