Integration

Integration Data Jobs

40 jobs found

Today

Data Engineer, Deal Intelligence & Automation, AWS GDSP

Amazon Web Services, Inc. Austin, TX

Austin, TX

Today

$155k - $209k/yr Full time Analytics AWS Big Data

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Job Description

Join AWS GDSP as a Data Engineer focused on Deal Intelligence & Automation, shaping data pipelines, models, and platforms that unlock deal intelligence and automation at scale. This onsite role in Austin, TX offers a salary range of USD 154,600 to 209,100 per year and opportunities to leverage AWS services and generative AI to drive impact.

Responsibilities

Build and maintain backend data infrastructure for analytical and visualization platforms, ensuring data quality, freshness, and readiness for downstream consumption.
Translate business problems into technical data requirements by partnering with product management and stakeholders to define data products.
Automate reporting processes to enable self-service analytics at scale, reducing manual effort and accelerating time to insight.
Develop measurement frameworks and metrics that quantify deal execution performance and operational health.
Ensure data quality through monitoring, validation, auditing, and documentation of pipelines and data sources.
Leverage AWS services and generative AI to build next-generation data solutions that improve efficiency and unlock new analytical capabilities.

Requirements

At least five years of data engineering experience.
Experience with data modeling, warehousing, and building ETL pipelines.
Experience with SQL.
Proficiency in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS.
Experience mentoring team members on best practices.

Technologies

Hadoop
Hive
Spark
EMR
Python
Java
Scala
NodeJS
SQL

Benefits

Sign-on payments
Restricted stock units (RSUs)
Health insurance
Life insurance (Basic Life & AD&D) / option for Supplemental life plans
Employee Assistance Program (EAP)
Mental Health Support
Medical Advice Line
Flexible Spending Accounts
Adoption and Surrogacy Reimbursement coverage
401(k) matching
Paid time off
Parental leave

About the Team

The team builds products that power how GDSP operates, delivering reporting and tooling that uphold the highest standards of clarity, reliability, and scalability.

Diverse Experiences

AWS values diverse experiences. If you do not meet every preferred qualification, we encourage you to apply. Whether you are early in your career, pursuing an unconventional path, or bring alternative experiences, your background is welcomed.

Why AWS?

AWS is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate, with customers ranging from startups to Global 500 companies relying on our robust suite of products and services.

Inclusive Team Culture

AWS promotes curiosity and connection through employee‑led and company‑sponsored affinity groups that foster inclusion. Inclusion events strengthen collaboration, and bold ideas from diverse voices drive our ongoing innovation.

Mentorship & Career Growth

We aim to raise our performance bar and support career development through mentors, knowledge sharing, and resources that help you grow into a well-rounded professional within a supportive ecosystem.

Work/Life Balance

We value work‑life harmony and strive for flexibility within our working culture. When employees feel supported at work and at home, they can achieve more together.

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3d ago

Data Engineer / Architect III - Finance Domain

Hudson Manpower Cincinnati, OH

Cincinnati, OH

3d ago

$50 - $55/hr Full time Analytics Business Analytics Business Intelligence

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Job Description

Location: Cincinnati, Ohio (onsite). Compensation: USD 50 - 55 per hour. Employment: W2, full-time on a long-term contract. This Finance domain opportunity from Hudson Manpower pairs hands-on engineering with architectural leadership to drive a large scale M&A data integration program, delivering scalable, governance-driven data platforms that support analytics, reporting, and regulatory compliance.

Benefits

Medical, Dental & Vision Insurance
401(k)
Paid Time Off
Professional Development Opportunities
Additional Benefits Package

Responsibilities

Design and deploy scalable enterprise data architectures to support analytics and operations.
Build and optimize cloud-native ELT/ETL pipelines using Snowflake and DBT.
Develop reusable transformation frameworks and enterprise data models.
Create scalable solutions for analytics, reporting, and operational data needs.
Construct high-performance analytical and operational data structures.
Support data integration initiatives related to mergers and acquisitions.
Analyze and consolidate disparate data sources from acquired organizations.
Standardize data definitions, mappings, and transformation logic across the enterprise.
Ensure accurate migration and reconciliation of financial and operational data.
Support enterprise-wide data consolidation efforts and data governance efforts.
Implement data validation, reconciliation processes, and data lineage practices.
Support governance, auditability, and regulatory reporting requirements.
Improve platform reliability, scalability, and maintainability; assist with disaster recovery planning.
Collaborate with Enterprise Architects, Data Engineers, Business Analysts, Reporting Teams, Data Scientists, and Business Stakeholders.
Translate business requirements into scalable technical solutions and participate in architecture reviews and planning sessions.
Evaluate emerging technologies and engineering best practices to inform roadmaps.

Requirements

Snowflake
DBT
Advanced SQL
Data Warehousing
ELT / ETL Engineering
Enterprise Data Modeling
Data Architecture
Cloud Data Platforms
Data Integration
Data Transformation Frameworks
6+ years of Data Engineering or Data Architecture experience
Strong hands-on Snowflake experience
Advanced SQL development and performance optimization expertise
Experience building DBT transformation frameworks
Strong understanding of Data Warehousing concepts
Experience designing scalable ELT/ETL pipelines
Experience with relational and non-relational databases
Strong knowledge of enterprise data modeling and analytics architecture

Technical Environment

Cloud Data Platform: Snowflake
Data Transformation: DBT; ELT / ETL Frameworks
Databases: Relational and Non-Relational
Analytics & Reporting: SQL; Power BI
Architecture: Enterprise Data Modeling; Data Warehousing; Data Governance
Additional Technologies: Java / J2EE

What success looks like

Deliver scalable and reliable enterprise data solutions that support business needs
Successfully integrate data across merger and acquisition initiatives
Build optimized Snowflake and DBT transformation frameworks
Enhance enterprise reporting, analytics, and governance capabilities
Maintain regulatory-quality data management and strong operational excellence

Ideal Candidate Profile

Highly analytical and detail-oriented with a disciplined approach
Experience in regulated, enterprise environments
Strong hands-on engineering and architectural capabilities
Proven ability to solve complex data integration challenges
Expertise with modern cloud data platforms and transformation tools
Ability to balance technical execution with business aims
Collaborates effectively with technical and non-technical stakeholders

Important Notes

W2 Full-Time Opportunity
Onsite Role – Cincinnati, Ohio
Strong Snowflake Experience Required
DBT & Advanced SQL Expertise Required
Financial Services Experience Preferred
Enterprise Data Architecture & M&A Integration Focus
Submission Deadline: June 2, 2026

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3d ago

Data Engineer (Power BI)

CACI Alexandria, VA 🇺🇸 Remote

Alexandria, VA

3d ago

$87k - $182k/yr Full time Analytics Business Analytics Business Intelligence

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Job Description

CACI is seeking a mid-level Data Engineer with Power BI expertise to design and sustain business intelligence tools and data pipelines for the STF program, delivering insights into the health of science and technology initiatives. This remote role requires residency in the Washington DC metro area and is anchored in Alexandria, VA. The position offers a salary range of $86,600 to $181,800 per year and requires a bachelor’s degree in Computer Science, Data Science, Engineering, or a related field, plus at least five years of experience.

Responsibilities

Evaluate and select the optimal mix of technologies for the infrastructure dashboard data platform, including databases, processing frameworks, and orchestration tools.
Establish scalable data storage solutions to support long term growth.
Ingest live data from multi-domain sources via API or other suitable mechanisms.
Collaborate with domain experts to understand RDT&E data being ingested and implement modeling controls for data abnormalities and structural differences.
Develop a robust data pipeline to load and transform data into a STF-ready model, balancing short and long term data goals.
Create and enforce data governance policies, including data quality standards, data lineage tracking, and metadata management, and communicate these policies to data analysts and stakeholders.
Monitor and optimize database and data model performance and security; conduct periodic tests of pipeline health and data validity.
Work with data stakeholders and the data analyst team to ensure background data and architecture meet the needs of requested visualizations and analyses.
Create and maintain detailed documentation for data architecture, data models, pipeline jobs, and related processes.

Requirements

Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field.
Minimum of five years of experience in database and dashboard development.
Strong experience with databases, data processing frameworks, and orchestration tools.
Proficiency in API integration and data ingestion from various sources.
Experience with data modeling, ETL processes, and data pipeline development.
Advanced proficiency in PowerBI.
Excellent problem-solving skills and attention to detail.
Strong communication skills and ability to work collaboratively with cross-functional teams.

Technologies

PowerBI

Benefits

Healthcare
Wellness
Financial
Retirement
Family support
Continuing education
Time off benefits
Learning and development opportunities

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3d ago

Senior Data Engineer

Liberty Mutual Boston, MA

Boston, MA

3d ago

$114k - $197k/yr Full time Senior Analytics Data Analytics

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Job Description

Liberty Mutual Investments Technology is seeking a Senior Data Engineer to design, build, and support enterprise data pipelines and data management solutions for market, reference, and financial data on the EDM platform (formerly Markit EDM). The role sits in a hybrid Boston-based environment and offers a salary range of USD 114,000 to 197,000 per year, reflecting the combined responsibilities of hands-on development and cross-functional collaboration.

Responsibilities

Design, build, maintain, and support data management workflows, data models, and integration pipelines.
Configure and sustain ingestion, validation, enrichment, matching, and distribution processes within the EDM system.
Enable reporting, analytics, and downstream data integrations connected to the EDM platform.
Create and maintain scalable ETL/ELT pipelines for market, reference, and transactional data.
Ingest data from internal and external vendors, APIs, flat files, and enterprise applications.
Implement data quality checks, reconciliations, exception handling, and monitoring processes.
Collaborate closely with data engineers, analysts, and product stakeholders in an agile, squad-based model.
Mentor junior engineers, participate in code reviews, and promote engineering best practices and standards.

Requirements

Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent experience.
Five or more years of data engineering experience building and maintaining scalable data platforms and pipelines.
Strong SQL skills with expertise in data modeling and data warehousing concepts.
Hands-on experience delivering solutions within Markit EDM.
Experience working with market data, reference data, or financial services data platforms.
Proficiency in Python for data processing, automation, and integration tasks.
Experience diagnosing and resolving complex production data issues.
Excellent communication and stakeholder management abilities.

Technologies

SQL
Python
Markit EDM
Microsoft SQL Server

Benefits

Comprehensive benefits package
Workplace flexibility
Professional development opportunities
Opportunities provided through our Employee Resource Groups

Description

This role has a required hybrid Boston work arrangement.

Fair Chance Notices

California
Los Angeles Incorporated
Los Angeles Unincorporated
Philadelphia
San Francisco

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3d ago

Data Engineer

Citi Jersey City, NJ

Jersey City, NJ

3d ago

$142k - $213k/yr Full time AWS Aws Glue Big Data

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Job Description

Citi, a global financial services leader, offers an onsite Data Engineer position in Jersey City that sits at the intersection of data platforms and business impact. This AVP level role blends hands-on development with advisory duties as you help define and deploy new or revised application systems in close coordination with the Technology team. A bachelor’s degree or equivalent experience and a minimum of five years in related roles are required, with a salary range of USD 142,320 to 213,480 per year.

Responsibilities

Conduct feasibility studies, time and cost estimates, IT planning, risk assessment, applications development, model development, and establish and implement new or revised applications systems and programs to meet specific business needs or user areas
Monitor and control all phases of the development process from analysis to design, construction, testing, and implementation, and provide user and operational support on applications to business users
Apply in-depth specialty knowledge of applications development to analyze complex problems, evaluate business and system processes, consider industry standards, and make evaluative judgments
Recommend and develop security measures in post-implementation analyses to ensure successful system design and functionality
Consult with users, clients, and other technology groups on issues, propose advanced programming solutions, and install or assist with customer exposure systems
Ensure essential procedures are followed and help define operating standards and processes
Serve as advisor or coach to new or lower level analysts
Operate with limited direct supervision and exercise independence of judgment and autonomy
Act as subject matter expert to senior stakeholders and other team members
Assess risk in business decisions, upholding Citi’s reputation and safeguarding clients and assets by complying with laws and regulations, applying ethical judgment, and escalating and reporting control issues with transparency

Requirements

5-8 years of relevant experience
Experience in systems analysis and programming of software applications
Experience in managing and implementing successful projects
Working knowledge of consulting or project management techniques or methods
Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements

Technologies

AWS Glue
AWS Athena
Airflow
Snowflake
MongoDB
Oracle
PostgreSQL
Unix shell scripting
Python
PySpark
Ab Initio (EME, GDE, Co-op)

Benefits

Discretionary and formulaic incentive and retention awards
Medical, dental & vision coverage
401(k)
Life, accident, and disability insurance
Wellness programs
Paid time off packages (vacation, sick leave, and paid holidays)

Job specifics

Job family group: Technology
Job family: Applications Development
Time type: Full time
Primary location: Jersey City, New Jersey, United States
Primary location full time salary range: $142,320.00 - $213,480.00

Posting timeline

Anticipated posting close date: Jun 09, 2026

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4d ago

Data Engineer

Amazon.com Services LLC Arlington, VA

Arlington, VA

4d ago

$132k - $179k/yr Full time AWS Aws Glue Bigdata

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Job Description

As a Data Engineer within the MOTOR organization, you will design and implement data pipelines and infrastructure that enable analytics across manufacturing, transportation, and reverse logistics inside AWS data centers.

Responsibilities

Build and maintain data infrastructure to answer business questions using software engineering best practices, data management fundamentals, data storage principles, distributed systems advances, and operational excellence standards. Create datasets for analysts and scientists to generate actionable insights.
Define data engineering processes that leverage various AWS services to improve accessibility, redundancy, data integrity, cost efficiency, and storage requirements.
Develop high quality solutions that accelerate product and model development in a scalable format, while anticipating future needs.
Collaborate with Research and Applied Scientists, Data Engineers, BI Engineers, Data Scientists, Business Analysts, and Product/Program Managers to understand requirements and make decisions that streamline programs and products.
Interface with other technology and data engineering teams to extract, transform, and load data from diverse sources using AWS data technologies.
Lead the technical design and implementation of the data infrastructure.
Design and manage data audit, quality, and reconciliation processes in partnership with stakeholders.

Requirements

3+ years of data engineering experience
Experience with data modeling, warehousing, and building ETL pipelines
Experience with CI/CD pipelines and build processes
Proficiency in one or more scripting languages (e.g., Python, Ruby, Perl)
Experience working with Git or an equivalent distributed version control system

Technologies

Python
Ruby
Perl
Git
Redshift
S3
AWS Glue
EMR
Kinesis
FireHose
Lambda
IAM

Benefits

Health insurance including medical, dental, vision, prescription coverage, Basic Life & AD&D, with options for supplemental life plans, EAP, mental health support, medical advice line, Flexible Spending Accounts, and Adoption/Surrogacy reimbursement
Sign-on payments
Restricted stock units (RSUs)
401(k) matching
Paid time off
Parental leave

About the Team

This team provides data engineering and business intelligence services to the rest of MOTOR. We are the data experts behind the scenes, enabling operational teams to focus on day-to-day operations by ensuring accurate and timely data and delivering insights that drive operational excellence.

Why AWS

Amazon Web Services is a leading cloud platform characterized by breadth and depth of services. AWS supports customers from startups to Global 500 companies, delivering robust tools to power diverse business needs and innovative workloads in the cloud.

Diverse Experiences

Amazon values diverse backgrounds and experiences. Candidates who do not meet every listed qualification are encouraged to apply. Nontraditional career paths or alternative experiences are welcome, and we value transferable skills and potential.

Work/Life Balance

We support a flexible approach to work that promotes harmony between professional and personal commitments. A supportive environment and balanced expectations enable sustained performance and long-term success.

Inclusive Team Culture

AWS champions a culture of inclusion and curiosity. Employee-led affinity groups and ongoing learning events foster a sense of belonging and opportunity to engage across differences, including initiatives focused on race, ethnicity, and gender diversity.

Mentorship and Career Growth

We continually raise the performance bar and provide opportunities for knowledge sharing, mentorship, and career development to help you grow into a more well-rounded professional within the organization.

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6d ago

Associate Data Engineer

Baker Tilly Advisory Group, LP Milwaukee, WI

Milwaukee, WI

6d ago

$86k - $163k/yr Full time Analytics Automation Azure Data Factory

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Job Description

The Associate Data Engineer collaborates with cross-functional teams to design, build, and optimize data platforms for mid-market and enterprise clients. Focusing on the Microsoft stack, the role leverages Azure, Synapse, and Microsoft Fabric to convert raw data into analytics-ready assets for dashboards, advanced analytics, and AI use cases.

Location

Milwaukee, WI (onsite)

Compensation

USD 85,910 - 162,890 per year

Responsibilities

Data engineering: Build scalable ETL/ELT pipelines using T-SQL, Python, Azure Data Factory or Fabric Data Pipelines, and Databricks; apply best practice patterns for performance, security, and cost control.
Modeling and storage: Design relational and lakehouse models; implement Fabric OneLake shortcuts, medallion-style layers, and dimensional/semantic models for Power BI.
Quality and governance: Create automated data quality checks, lineage, and observability metrics; contribute to CI/CD workflows in Azure DevOps or GitHub.
Client delivery: Gather requirements, demonstrate iterative deliverables, document technical designs, and translate complex concepts for non-technical audiences.
Continuous improvement: Explore new capabilities, share findings in internal communities of practice, and contribute to reusable accelerators. Collaborate with clients and internal stakeholders to design scalable data engineering solutions.

Requirements

Bachelor's degree in Computer Science, Information Systems, Engineering, or related field, or equivalent experience.
2–3 years delivering production data solutions, preferably in a consulting or client-facing role.
Strong T-SQL for data transformation and performance tuning.
Python for data wrangling, orchestration, or notebook-based development.
Hands-on ETL/ELT with at least one Microsoft service (Azure Data Factory, Synapse Pipelines, or Fabric Data Pipelines).
Project experience with Microsoft Fabric (OneLake, Lakehouses, Data Pipelines, Notebooks, Warehouse, Power BI DirectLake) preferred.
Familiarity with Databricks, Delta Lake, or comparable lakehouse technologies preferred.
Exposure to DevOps (YAML pipelines, Terraform/Bicep) and test automation frameworks preferred.
Experience integrating SaaS/ERP sources (e.g., Dynamics 365, Workday, Costpoint) preferred.