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Senior Data Engineer / Ab Initio Developer

Motion Recruitment Partners, LLC

Charlotte, North Carolina • Today

Easy Apply

Contract

$53.56 - $60.35

Senior Data Engineer

Metova Federal

Remote • Today

Full-time

Senior Data Engineer

Gemini

Remote or New York, New York • Today

Full-time

USD 126,000.00 - 180,000.00 per year

Senior Data Engineer

Centerfield

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USD 157,102.00 per year

Senior Data Engineer

Origami Risk LLC

Remote • Today

Full-time

USD 117,000.00 - 146,000.00 per year

Senior Data Engineer

Brooksource

Remote • Today

Contract

$80.00 - $90.00

Senior Data Engineer

SPA

Remote • Today

Full-time

USD 156,423.94 per year

Senior Data Engineer

First American Financial Corporation

Remote or Jacksonville, Florida • Today

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USD 121,900.00 - 140,000.00 per year

Senior Data Engineer

Novanta Inc

Remote • Today

Full-time

USD 101,100.00 - 161,800.00 per year

Sr. Data Engineer

Oteemo Inc

Remote or Virginia • Today

Full-time

REMOTE: Ab Initio Engineer - Senior Developer/Expert

HR Giants

Remote • 23d ago

Easy Apply

Contract

Depends on Experience

Senior Data Engineer

Machinify

Remote • Today

Full-time

USD 180,000.00 - 220,000.00 per year

Sr. Data Engineer

NinjaTrader

Remote or Chicago, Illinois • Today

Full-time

USD 100,000.00 - 150,000.00 per year

Senior Data Engineer

Samsara

Remote • Today

Full-time

USD 118,107.50 - 178,650.00 per year

Senior Data Engineer

Sumitomo Mitsui Financial Group, Inc.

Charlotte, North Carolina • Today

Full-time

Senior Data Engineer

Socure

Remote • Today

Full-time

USD 160,000.00 - 195,000.00 per year

Motion Recruitment Partners, LLC

Job Details

Skills

Financial Services
Finance
Training
Military
Oracle
Debugging
PSETS
Data Processing
Data Warehouse
Data Modeling
Incident Management
Data Migration
Cloud Computing
Git
Automated Testing
Jenkins
Continuous Integration and Development
Productivity
Apache Spark
Real-time
Python
PySpark
PL/SQL
SQL
Clustering
Query Optimization
Performance Tuning
Teradata
Ab Initio
Workflow
Orchestration
Scheduling
CA Workload Automation AE
Migration
Google Cloud
Google Cloud Platform
Management
Data Governance
Meta-data Management
Data Quality
Informatica Data Quality
Operational Excellence
Root Cause Analysis
Data Engineering
Auditing
Analytics
Documentation
Artificial Intelligence
GitHub
Code Review
Testing
Integration Testing
Specification Gathering
Extract
Transform
Load
Middleware
Scalability

Financial Services
Finance
Training
Military
Oracle
Debugging
PSETS
Data Processing
Data Warehouse
Data Modeling
Incident Management
Data Migration
Cloud Computing
Git
Automated Testing
Jenkins
Continuous Integration and Development
Productivity
Apache Spark
Real-time
Python
PySpark
PL/SQL
SQL
Clustering
Query Optimization
Performance Tuning
Teradata
Ab Initio
Workflow
Orchestration
Scheduling
CA Workload Automation AE
Migration
Google Cloud
Google Cloud Platform
Management
Data Governance
Meta-data Management
Data Quality
Informatica Data Quality
Operational Excellence
Root Cause Analysis
Data Engineering
Auditing
Analytics
Documentation
Artificial Intelligence
GitHub
Code Review
Testing
Integration Testing
Specification Gathering
Extract
Transform
Load
Middleware
Scalability

Summary

Outstanding long-term contract opportunity! A well-known Financial Services Company is looking for a Software Engineer in Charlotte, NC (Hybrid).

Work with the brightest minds at one of the largest financial institutions in the world. This is a long-term contract opportunity that includes a competitive benefit package! Our client has been around for over 150 years and is continuously innovating in today's digital age. If you want to work for a company that is not only a household name, but also truly cares about satisfying customers' financial needs and helping people succeed financially, apply today.

Contract Duration: 12 Months

Required Skills & Experience

4+ years of Data Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
4+ years PL/SQL and SQL skills with proven experience in Oracle, Teradata, Python and/or BigQuery: complex query development, tuning, and debugging.
4+ years Ab Initio skills with proven experience to build complex graphs, Psets, performance tuning.
3+ years programming skills in Python; hands-on PySpark for distributed data processing
3+ years of ETL/ETL design, data warehousing concepts, and data modeling best practices

Desired Skills & Experience

Production operations experience: monitoring, SLAs, incident response, root cause analysis, and performance optimization.
Experience working in hybrid environments (on-prem + cloud) and supporting data migration/modernization initiatives.
Experience with scheduling/orchestration in Autosys and Airflow-based orchestration (Cloud Composer direction).
Experience with Git-based workflows, code reviews, and automated testing practices for data pipelines.
Experience with Harness, Jenkins and uDeploy based CICD environments.
Practical experience using AI-assisted coding tools in daily development to improve productivity without compromising quality or security.
Ab Initio development/maintenance experience and/or hands-on migration of Ab Initio graphs to modern Spark/SQL patterns.
Experience with Dataplex and broader data governance concepts (metadata, classification, stewardship, lineage practices).
Experience with Informatica Data Quality implementation patterns (profiling, rules, scorecards/metrics, exception workflows).
Experience designing near real-time patterns (micro-batch/event-driven concepts) and handling late-arriving/out-of-order data.
Familiarity with Google Cloud Platform operational practices for data workloads (service accounts/IAM basics, job monitoring, quota/cost controls).

What You Will Be Doing

Build and maintain scalable batch and near real-time data pipelines using AB Initio, Python, ?PySpark, PL / SQL and SQL to ingest, transform, and publish curated datasets across on-prem and Google Cloud platforms.
Develop and optimize BigQuery transformations and data models, including partitioning, clustering, query optimization, and cost/performance tuning.
Support modernization/migration from Teradata and Ab Initio workflows to Google Cloud Platform/BigQuery, including logic re-platforming, reconciliation, parallel runs, and controlled cutovers.
Implement orchestration and scheduling for pipelines using legacy Autosys while driving migration toward Google Cloud Composer (Airflow), including dependency management, retries, SLAs, and backfills.
Apply data governance and discovery practices using Dataplex: metadata management, dataset organization, classification support, and ensuring data is consumption-ready.
Build and operationalize data quality controls using Informatica Data Quality: profiling, rule implementation, thresholds, exception handling, and embedding quality gates into pipelines.
Ensure operational excellence: monitoring, alerting, runbooks, incident triage/root cause analysis, and continuous improvements to reliability and performance.
Implement secure data engineering practices: least-privilege access, PII handling/masking where required, retention controls, and audit-friendly documentation.
Partner with product, analytics, and engineering stakeholders to translate requirements into clear data contracts, curated datasets, and maintainable documentation (data dictionaries, reconciliation notes, operational runbooks).
Must-have: Use AI-assisted coding tools (e.g., GitHub Copilot, Devin, or similar) to accelerate development while maintaining strong code review discipline, testing, and secure coding standards.
Closely partner with Product Owners, Architects and Engineers on definition, design, development, integration, testing and support of reliable and reusable Data pipelines.
Analyze highly complex business requirements; generate technical specifications to design ETL processes.
Act as an expert technical resource for analysis and provides critical direction to less experienced staff. Work with team members to provide insight into solving complex problems with middleware while leveraging enterprise and industry best practices (including scalability, availability, maintainability, and flexibility).

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: 10105282
Position Id: 884151
Posted 30+ days ago

Company Info

About Motion Recruitment Partners, LLC

Motion Recruitment delivers IT Talent Solutions for Contract, Direct Hire, Managed Solutions and Statement of Work to all of North America from our 21 delivery centers. Our high-touch, specialized, team-based recruitment model’s success is proven through our exemplary track record in filling the most challenging IT positions for startup and enterprise clients alike. Our hyper-specialized tech focus results in a truly consultative approach for both our clients and candidates, within our recruiting areas of expertise: Software, Mobile, Data, Infrastructure, Cybersecurity, Product + UX and Functional.

Motion also delivers IT Consulting Solutions through the Motion Consulting Group (MCG) that create true digital transformation for IT projects in Agile Development & Coaching, DevOps & DevSecOps Solutions, and Managed Services for IT Operations.

We’re also the proud creators of Tech in Motion and the Timmy Awards, our North American community platform, events series and award program that connects over 250,000 tech enthusiasts to meet, learn, and innovate.

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Motion Recruitment Partners, LLC

Job Details

Skills

Financial Services
Finance
Training
Military
Oracle
Debugging
PSETS
Data Processing
Data Warehouse
Data Modeling
Incident Management
Data Migration
Cloud Computing
Git
Automated Testing
Jenkins
Continuous Integration and Development
Productivity
Apache Spark
Real-time
Python
PySpark
PL/SQL
SQL
Clustering
Query Optimization
Performance Tuning
Teradata
Ab Initio
Workflow
Orchestration
Scheduling
CA Workload Automation AE
Migration
Google Cloud
Google Cloud Platform
Management
Data Governance
Meta-data Management
Data Quality
Informatica Data Quality
Operational Excellence
Root Cause Analysis
Data Engineering
Auditing
Analytics
Documentation
Artificial Intelligence
GitHub
Code Review
Testing
Integration Testing
Specification Gathering
Extract
Transform
Load
Middleware
Scalability

Financial Services
Finance
Training
Military
Oracle
Debugging
PSETS
Data Processing
Data Warehouse
Data Modeling
Incident Management
Data Migration
Cloud Computing
Git
Automated Testing
Jenkins
Continuous Integration and Development
Productivity
Apache Spark
Real-time
Python
PySpark
PL/SQL
SQL
Clustering
Query Optimization
Performance Tuning
Teradata
Ab Initio
Workflow
Orchestration
Scheduling
CA Workload Automation AE
Migration
Google Cloud
Google Cloud Platform
Management
Data Governance
Meta-data Management
Data Quality
Informatica Data Quality
Operational Excellence
Root Cause Analysis
Data Engineering
Auditing
Analytics
Documentation
Artificial Intelligence
GitHub
Code Review
Testing
Integration Testing
Specification Gathering
Extract
Transform
Load
Middleware
Scalability

Summary

4+ years of Data Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
4+ years PL/SQL and SQL skills with proven experience in Oracle, Teradata, Python and/or BigQuery: complex query development, tuning, and debugging.
4+ years Ab Initio skills with proven experience to build complex graphs, Psets, performance tuning.
3+ years programming skills in Python; hands-on PySpark for distributed data processing
3+ years of ETL/ETL design, data warehousing concepts, and data modeling best practices

Desired Skills & Experience

Production operations experience: monitoring, SLAs, incident response, root cause analysis, and performance optimization.
Experience working in hybrid environments (on-prem + cloud) and supporting data migration/modernization initiatives.
Experience with scheduling/orchestration in Autosys and Airflow-based orchestration (Cloud Composer direction).
Experience with Git-based workflows, code reviews, and automated testing practices for data pipelines.
Experience with Harness, Jenkins and uDeploy based CICD environments.
Practical experience using AI-assisted coding tools in daily development to improve productivity without compromising quality or security.
Ab Initio development/maintenance experience and/or hands-on migration of Ab Initio graphs to modern Spark/SQL patterns.
Experience with Dataplex and broader data governance concepts (metadata, classification, stewardship, lineage practices).
Experience with Informatica Data Quality implementation patterns (profiling, rules, scorecards/metrics, exception workflows).
Experience designing near real-time patterns (micro-batch/event-driven concepts) and handling late-arriving/out-of-order data.
Familiarity with Google Cloud Platform operational practices for data workloads (service accounts/IAM basics, job monitoring, quota/cost controls).

What You Will Be Doing

Build and maintain scalable batch and near real-time data pipelines using AB Initio, Python, ?PySpark, PL / SQL and SQL to ingest, transform, and publish curated datasets across on-prem and Google Cloud platforms.
Develop and optimize BigQuery transformations and data models, including partitioning, clustering, query optimization, and cost/performance tuning.
Support modernization/migration from Teradata and Ab Initio workflows to Google Cloud Platform/BigQuery, including logic re-platforming, reconciliation, parallel runs, and controlled cutovers.
Implement orchestration and scheduling for pipelines using legacy Autosys while driving migration toward Google Cloud Composer (Airflow), including dependency management, retries, SLAs, and backfills.
Apply data governance and discovery practices using Dataplex: metadata management, dataset organization, classification support, and ensuring data is consumption-ready.
Build and operationalize data quality controls using Informatica Data Quality: profiling, rule implementation, thresholds, exception handling, and embedding quality gates into pipelines.
Ensure operational excellence: monitoring, alerting, runbooks, incident triage/root cause analysis, and continuous improvements to reliability and performance.
Implement secure data engineering practices: least-privilege access, PII handling/masking where required, retention controls, and audit-friendly documentation.
Partner with product, analytics, and engineering stakeholders to translate requirements into clear data contracts, curated datasets, and maintainable documentation (data dictionaries, reconciliation notes, operational runbooks).
Must-have: Use AI-assisted coding tools (e.g., GitHub Copilot, Devin, or similar) to accelerate development while maintaining strong code review discipline, testing, and secure coding standards.
Closely partner with Product Owners, Architects and Engineers on definition, design, development, integration, testing and support of reliable and reusable Data pipelines.
Analyze highly complex business requirements; generate technical specifications to design ETL processes.
Act as an expert technical resource for analysis and provides critical direction to less experienced staff. Work with team members to provide insight into solving complex problems with middleware while leveraging enterprise and industry best practices (including scalability, availability, maintainability, and flexibility).

Dice Id: 10105282
Position Id: 884151
Posted 30+ days ago

Company Info

About Motion Recruitment Partners, LLC

Go to company profile

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

Never miss an opportunity! Create an alert based on the job you applied for.

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