Data

Data Developer Jobs

74 jobs found

1d ago

Data Engineer IV

Hudson Manpower Cincinnati, OH

Cincinnati, OH

1d ago

$68 - $70/hr Full time AWS Big Data Cloud

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Job Description

What you get at this onsite Data Engineer IV position in Cincinnati, OH include a competitive base pay of USD 68 - 70 per hour, comprehensive medical, dental, and vision coverage, optional life and disability insurance, a 401(k) plan with company match and potential profit sharing, paid vacation time, paid bench time, a training allowance, and referral bonuses. You will join Hudson Manpower and focus on building scalable data pipelines that power machine learning models deployed in AWS SageMaker, collaborating within the Machine Learning Data Enablement squad of the Data Insights Tribe.

Benefits

Competitive base salary
Medical, dental, and vision insurance coverage
Optional life and disability insurance provided
401(k) with a company match and optional profit sharing
Paid vacation time
Paid Bench time
Training allowance offering
Referral bonuses

Responsibilities

Join the Machine Learning Data Enablement squad in the Data Insights Tribe.
Help build high quality, scalable data pipelines that power machine learning models across the enterprise, deployed in AWS SageMaker.
Deliver curated, production-ready datasets in collaboration with data scientists and ML engineers.
Work closely with data scientists and ML engineers to shape how machine learning data is delivered across the bank.
Maintain in-office presence: in office 4 days a week minimum (Monday-Thursday).
Help define how data powers machine learning at scale.

Requirements

Proficiency in Python
Proficiency in SQL
Location: Cincinnati, OH - onsite
USC and GC Holder candidates only
In-office 4 days a week minimum (Monday-Thursday)

Technologies

Python
SQL
AWS Sagemaker
DBT
Snowflake
Databricks

Top skills

Python
SQL
AWS Sagemaker
DBT
Snowflake

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1d ago

Tableau Developer

Vaco by Highspring Saint Petersburg, FL

Saint Petersburg, FL

1d ago

$115k - $120k/yr Full time Manager Analytics Business Analytics

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Job Description

Location: Saint Petersburg, Florida, onsite. This Tableau Developer role offers a competitive salary range of $115,000 – $120,000 per year, discretionary bonuses, medical, dental, and vision coverage, and a 401(k) plan. Join a collaborative team that values data-informed decisions and well-governed dashboards. The role centers on Tableau development and server administration, serving as the link between end users and IT to capture and implement business needs. A bachelor’s degree in Computer Science, MIS, Business Administration, or a related field, plus at least four years of IT software development related experience, program leadership, or software business analysis, are required.

Benefits

Discretionary bonuses
Medical, dental, and vision benefits
401(k) retirement plan

Responsibilities

Oversee Tableau Server environments and sites, publish interactive dashboards, and collaborate with internal IT teams to ensure a stable, well-designed, highly available, and properly maintained infrastructure
Administer and support Tableau infrastructure, manage groups, workbooks and projects, database views, data sources, and data connections
Leverage SQL and data storage techniques to integrate data from multiple sources
Lead Tableau initiatives by overseeing business needs and requirements for enhancements and delivery cycles
Partner with internal users and external vendors to translate business objectives into strategic and tactical plans
Facilitate meetings with key stakeholders to map current practices and identify opportunities for process improvement
Design, maintain, and enforce Tableau best practices and governance policies

Requirements

Bachelor’s degree in Computer Science, MIS, Business Administration, or a related field from an accredited institution
Four years of IT software development related experience including program leadership or software business analysis, or an equivalent combination of education, certification, training, and experience
Ability to develop, maintain, and manage advanced Tableau reporting, analytics, and dashboards
Proficiency with SQL and relational databases for dashboard development
Experience maintaining, supporting, and upgrading a Tableau server environment
Knowledge of business needs analysis principles and requirements analysis methods
Ability to analyze data sets and document business processes
Strong multitasking skills and adaptability to shifting priorities
Strong analytical and problem-solving abilities
Ability to explain technical concepts to non-technical stakeholders
Excellent organizational skills and timely delivery
Proficiency in English (speaking, reading, writing)
Ability to follow complex instructions and communicate effectively
Ability to work with minimal supervision
Capacity to foster and maintain cooperative working relationships and build consensus
Microsoft Office proficiency
Ability to commute with personal transportation and travel up to 25% of the time

Technologies

Tableau
Tableau Server
SQL
Microsoft Office

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2d ago

Senior Data Engineer

firstPROPhiladelphia Philadelphia, PA

Philadelphia, PA

2d ago

$60 - $70/hr Contract Senior Analytics Automation

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Job Description

The contract-to-hire Senior Data Engineer focuses on real-time streaming data pipelines for connected medical devices, operating in a hybrid environment in Philadelphia. The role leverages Azure Databricks, Azure services, and ML/AI data workflows. Compensation ranges from USD 60 to 70 per hour.

Responsibilities

Design and implement batch and streaming data pipelines on Azure and Databricks, with emphasis on real-time IoT telemetry within a Medallion architecture.
Create ETL/ELT workflows to ingest, transform, and validate large volumes of structured and unstructured data.
Develop and maintain data services, APIs, and microservices for application, analytics, and ML/AI teams.
Deploy real-time streaming solutions using Azure Event Hubs, Azure Stream Analytics, and related Azure integration patterns, focusing on cost-effective throughput, proper partitioning, and downstream delivery to Databricks.
Optimize production Databricks pipelines with PySpark, Spark SQL, and Delta Lake, including tuning for performance, reliability, and cost.
Troubleshoot and resolve complex pipeline issues across Databricks, Azure, and on-premises systems, including root cause analysis and corrective actions.
Collaborate with data analysts, software engineers, ML engineers, and business stakeholders to translate requirements into technical designs and delivery priorities.
Apply data quality, validation, and privacy-first practices, delivering reliable pipelines through software engineering standards, documentation, testing, and CI/CD.

Requirements

Bachelor's degree in Computer Science, Mathematics, Engineering, or a related technical field with 6+ years of professional experience in data engineering, analytics, or warehousing; or Master's degree in a related field with 3+ years of experience.
5+ years designing, building, and operating big data and real-time streaming pipelines across cloud and on-premises environments.
5+ years applying DevOps and CI/CD practices to data and analytics workloads.
Production experience building data services, APIs, or microservices for downstream data consumption.
Strong hands-on experience designing and building production-grade data pipelines on Databricks.
Demonstrated experience with Spark optimization and tuning in Databricks, including performance analysis, partitioning strategies, caching, shuffle optimization, and cost-aware pipeline design.
Strong experience with Azure cloud services for data engineering and streaming workloads.
Data quality, validation, and privacy-aware handling for regulated or sensitive data.

Technologies

Databricks
Spark
PySpark
Spark SQL
Delta Lake
Azure
Azure Event Hubs
Azure Stream Analytics
Azure Databricks
Medallion architecture

Outcomes

Onboard to the Azure Databricks environment and contribute to troubleshooting, stabilization, and optimization of existing batch and streaming data pipelines.
Stand up Azure streaming ingestion for telemetry data and deliver production-ready pipelines integrated with Databricks to support API, ML, and downstream analytics consumption within the Medallion architecture.
Design and deliver data services or consumption patterns that enable business and ML teams to access near real-time telemetry data reliably, securely, and at scale.

Work Hours and Travel Requirements

Willingness to assist in troubleshooting and analysis during off-hours production issues as needed.
The IT team operates in a hybrid environment requiring a minimum of two days per week in the downtown Philadelphia office.

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2d ago

Financial Data Engineer

Equifax St. Louis, MO

St. Louis, MO

2d ago

Full time Python Apache Airflow Artificial Intelligence

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Job Description

Equifax seeks a Financial Data Engineer to design and scale data frameworks that support the Workforce Solutions Finance domain. This onsite role in St. Louis, MO focuses on moving data solutions from prototype to production with minimal friction, owning all Workforce Solutions Financial data elements, and shaping an environment that enables actionable financial insights to drive business outcomes.

Role Summary

The position designs and develops scalable data solutions for Equifax Workforce Solutions Finance, ensuring smooth transitions from development to production. It involves curating financial data assets and fostering an environment optimized for extracting insights that propel business decisions forward.

Responsibilities

Assist in designing and implementing the Equifax Workforce Solutions Finance data models in GCP
Contribute to strategies, standards, and best practices for data access and integration within GCP
Provide recommendations to increase data utilization based on understanding of the data delivery environment
Collaborate with Technology, Security, Data Governance, and IT Operations to move key Financial data assets to GCP
Maintain current knowledge of the evolving GCP technologies landscape and share findings with the team
Support the technology roadmap and architectural discussions, translating business vision into scalable engineering deliverables within an Agile framework
Orchestrate automated data workflows and processes using Python, Airflow, Jenkins and/or Astronomer to reduce manual intervention and improve efficiency
Perform rigorous software development activities, including unit testing and code deployment, and participate in code reviews to ensure healthy codebases
Research and evaluate emerging data sources and advanced technologies including ML, AI and RPA to enhance the data strategy
Work with governance and compliance professionals to ensure ethical and legal use of data assets with precise lineage tracking
Partner with IT Centers of Excellence to refine ETL toolsets for continuous improvement in cycle time and system performance
Author training materials and lead sessions to educate internal teams on data strategy and evolving capabilities
Deconstruct complex organizational problems into actionable data components to drive evidence-based solutions
Triage product or system issues, conduct root cause analysis, and implement short- and long-term resolutions
Orchestrate automated data workflows and processes using Python, Spark, Airflow, Jenkins and/or Astronomer to increase operating efficiency

Requirements

Bachelor degree in Computer Science, Information Systems, Statistics, Economics, or equivalent quantitative field with strong emphasis on programming
5+ years of experience building, loading, transforming, and analyzing data across database platforms and data stores
5+ years of experience in a cloud environment, specifically GCP or a similar platform
5+ years of scripting or coding experience
Proficiency in one or more of the following: Python, SQL, BigQuery, Airflow / Cloud Composer

Technologies

GCP (Google Cloud Platform)
Python
Airflow
Jenkins
Astronomer
Spark
SQL
BigQuery
Cloud Composer
Tableau
Looker
Spotfire
ML, AI, RPA

Benefits

Comprehensive compensation
Healthcare packages
401k matching
Paid time off
Access to online learning platform with guided career tracks for growth

About Equifax

Equifax is a global data, analytics and technology company that helps organizations make informed decisions with confidence. Our work spans the experiences people have in pivotal moments, such as applying for jobs, seeking a mortgage, or financing education. We prioritize development of our people, support career advancement, and foster an inclusive and diverse work environment while recognizing achievement across locations and roles.

Equifax is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other legally protected characteristics.

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2d ago

Lead Data Engineer

Wolverine Worldwide Remote 🌍 Remote

Remote

2d ago

$120k - $158k/yr Full time Analytics Azure Azure Data Factory

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Job Description

Wolverine Worldwide offers a 100% remote Lead Data Engineer role with a competitive annual salary range of USD 120,000 – 157,500. In this position you will lead the design, development, and deployment of Microsoft data solutions using Microsoft Fabric and the Azure data platform, mentor junior engineers, and drive data governance across cloud environments.

Responsibilities

Serve as the technical lead for modern data engineering initiatives, emphasizing Microsoft Fabric and Azure Synapse Analytics, and covering data pipelines, notebooks, lakehouse architectures, and enterprise data warehousing platforms.
Guide cross functional teams to design, implement, and provide hypercare support for contemporary data warehousing solutions from inception to operation.
Collaborate with management, customers, and colleagues to determine and refine requirements.
Provide estimates of resources, timelines, and costs for multiple projects across diverse teams.
Offer guidance on data governance, security, and privacy across cloud environments.
Lead or assist with problem solving related to application performance, usage, and general support activities for customers and team members.
Create system documentation, user manuals, and deliver or facilitate user training sessions.
Own disaster recovery initiatives and enforce change management standards and procedures.
Set and monitor service delivery levels, focusing on reliability, availability, accuracy, maintainability, and cost.
Support IT leadership in shaping and executing complex objectives aligned with short and long term company goals.
Evaluate third party solutions, stay current with technologies and trends, and integrate relevant innovations into the environment.
Continue developing technical and business proficiency through self-directed study, project work, and vendor interactions.
Provide 24 hour on call support, including evenings and weekends.
Perform duties in line with the company AAP and EEO policies and contribute to broader organizational goals.
Take on additional duties as assigned by management.

Requirements

Bachelor’s degree in Computer Science or a related field, or equivalent work experience.
8+ years of proven experience in designing and implementing data warehouse architecture, data delivery, data modeling, ETL tools, master data management, and deploying automated, well-documented solutions.
5+ years of experience with Microsoft cloud data platform solutions, including Microsoft Fabric OneLake, Azure Synapse, DevOps, Data Factory, pipelines, and notebooks.
Experience with monitoring and optimization tools such as Azure Monitor, Application Insights, Fabric capacity metrics, or equivalents.
Medallion Architecture modeling experience.
Proficiency in Python for data processing (dataframes, Spark, etc.) and SQL development with performance optimization.
Power BI experience is a plus.
Strong communication, analytical, problem solving, and organizational skills.
Ability to establish and maintain effective working relationships at all levels of the organization.
Ability to mentor other team members in cloud technologies.
Remote work capability with preference for candidates located in Michigan.

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3d ago

Data Engineer

Accenture Irving, TX

Irving, TX

3d ago

$44 - $54/hr Full time Analytics Data Data Analysis

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Job Description

Accenture Flex is seeking a Data Engineer to design, build, and maintain robust data pipelines and solutions that ensure data quality while collaborating across teams to empower analytics. This onsite role places you with a client in Irving, TX three days per week, contributing to complex data workflows and data-driven decisions.

Responsibilities

Build and refine scalable data pipelines to support intricate data flows and analytics.
Partner with cross-functional teams to integrate data solutions that align with business needs.
Identify and resolve data issues to maintain accuracy and reliability of data assets.
Mentor less-experienced colleagues and share best practices.
Contribute to ongoing improvements of data engineering processes and tooling to boost team performance.

Requirements

Minimum 5 years of experience as a highly skilled engineer with strong data engineering, integration, and automation background.
Deep proficiency in SQL, Python, Java, and PowerShell, with the ability to extract, transform, and operationalize data across multiple platforms.
Knowledge of Genesys Cloud, NIC Call Recording, Nexidia Interaction Analytics, NICE IEX Workforce Management, APA, Robotic Automation, and Symon Korbyt Wallboard technology.
Associate Degree.

Technologies

SQL
Python
Java
PowerShell
Genesys Cloud
NIC Call Recording
Nexidia Interaction Analytics
NICE IEX Workforce Management
APA
Robotic Automation
Symon Korbyt Wallboard

Benefits

Medical
Dental
Vision
Long-term disability coverage
401(k) plan
Paid time off

Location and pay

Onsite in Irving, TX with an hourly range of USD 44 to 54. The role also lists pay ranges for multiple locations:

California: USD 44 - 54 per hour
Cleveland: USD 44 - 54 per hour
Colorado: USD 44 - 54 per hour
District of Columbia: USD 44 - 54 per hour
Illinois: USD 44 - 54 per hour
Maine: USD 44 - 54 per hour
Maryland: USD 44 - 54 per hour
Massachusetts: USD 44 - 54 per hour
Minnesota: USD 44 - 54 per hour
New York: USD 44 - 54 per hour
New Jersey: USD 44 - 54 per hour
Virginia: USD 44 - 54 per hour
Washington: USD 44 - 54 per hour

Accommodation

Accenture is committed to equal employment opportunities and offers reasonable accommodations for applicants with disabilities or religious observances during recruitment. If accommodation is needed, you can contact 1-877-889-9009, email, or speak with your recruiter.

Equal Employment Opportunity

Accenture provides equal opportunity in employment and decisions without regard to age, race, creed, color, religion, sex, national origin, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship, or any other protected status. Accenture is an EEO and Affirmative Action Employer of Veterans and Individuals with Disabilities.

Other employment statements

Applicants must have work authorization in the United States, and current employees of a client or affiliated Accenture business may not be eligible for consideration. Candidates may not be required to disclose sealed or expunged records, and discussing pay is not a disqualifier. California residents may have additional notices; see Accenture’s Recruiting and Hiring Statement for details on data processing during the recruiting process.

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3d ago

Data Engineer

InnoSource Dublin, OH

Dublin, OH

3d ago

Full time Analytics Artificial Intelligence Automation

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Job Description

InnoSource seeks a Data Engineer in Dublin, Ohio, onsite, to design, implement, and maintain scalable data pipelines and analytics solutions on Azure, partnering with stakeholders to ensure data quality and enable enterprise analytics and reporting.

Responsibilities

Design, build, and operate robust, scalable data pipelines in Azure using services such as Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake.
Ingest and integrate data from diverse sources including APIs, databases, and files into centralized analytics repositories.
Develop and manage ETL and ELT workflows that transform raw data into clean, analytics-ready models aligned with business requirements.
Establish a microservices architecture that scales with business growth and AI capabilities.
Construct data pipelines that feed AI models with clean, structured logistics data.
Deploy real-time analytics engines powering predictive logistics capabilities.
Ensure data quality, integrity, and governance through validation, monitoring, and alerting mechanisms.
Collaborate with business and technical teams to capture data requirements and align data assets with strategic needs.
Implement cost-efficient data engineering practices, optimizing performance while controlling cloud usage and storage costs.
Maintain and enhance a semantic data layer or curated datasets to support self-service BI with Power BI and advanced analytics.
Contribute to the architecture of the data platform, focusing on security, scalability, and performance best practices.
Automate data operations and deployment workflows using CI/CD pipelines and infrastructure as code, including ARM, Bicep, or Terraform.
Stay current with advancing Azure technologies and propose improvements to existing data workflows.
Additional duties as assigned.

Requirements

Proven experience building and managing data pipelines in Microsoft Azure environments.
Proficiency with tools such as Azure Data Factory, Synapse Analytics, Data Lake, and Power BI integration.
Strong knowledge of SQL, data modeling, and ELT/ETL patterns.
Experience working with APIs, JSON, and structured and unstructured data sources.
Demonstrated ability to work cross-functionally to define and deliver high-quality data solutions.
Strong organizational skills and the ability to multitask, set priorities, work with diverse teams, work independently, manage competing priorities, and meet deadlines while maintaining quality.
Availability to work a flexible schedule as needed.
Proficient in Microsoft Office Suite.
Demonstrated leadership skills with the ability to communicate and collaborate effectively with cross-functional teams.
Attention to detail, with a focus on accuracy and compliance in a fast-paced environment.
Logistics or supply chain experience preferred.

Technologies

Azure Data Factory
Azure Synapse Analytics
Azure Data Lake
Power BI
SQL
JSON
Terraform
Bicep
ARM
Microsoft Office Suite

Benefits

Dental insurance
Health insurance
Life insurance
Paid time off

Physical Demands

Sitting at a desk, typing, viewing multiple computer screens, and responding to inbound/outbound calls, emails, and messages throughout the day.
Occasional bending, standing, or lifting up to 10 lbs.

Work Environment

The work setting is an open office with regulated temperatures, where many colleagues are on the phone for extended periods.

Position Type & Expected Hours of Work

This is a full-time role. Typically, work runs Monday through Friday, 8:00 am to 5:00 pm (with a 1-hour lunch), totaling 40+ hours weekly, with potential after-hours work aligned to business needs.

Travel

Minimal to no travel is required. Occasional attendance at work-related conferences or trainings may occur.

Professional

Ability to adapt and work in a fast-paced environment by remaining flexible and handling change with ease.
Demonstrate efficient time management by being punctual and reliable.
Build and foster an environment of teamwork, integrity, and leadership.
Communicate effectively, both in writing and verbally, in a respectful, professional manner.