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3mo ago

Systems and Data Analyst (Workiva/ESG Reporting)

Stafford Technology Westerville, OH

Westerville, OH

3mo ago Closed

$40 - $50/hr Contract Analyst Analytical Skills Analytics

This position is no longer accepting applications (closed Jul 27, 2026).

Job Description

Stafford Technology seeks an onsite contract Systems and Data Analyst to oversee the Workiva platform for ESG reporting, manage sustainability data, and ensure data integrity and reporting accuracy in Westerville, Ohio.

Responsibilities

Administer and maintain the Workiva platform supporting ESG reporting
Collect, import, cleanse, and manage carbon emissions and environmental metrics
Validate data accuracy and remediate data quality issues
Perform detailed analysis to confirm readiness for reporting
Develop and maintain data workflows, templates, and documentation
Collaborate with internal stakeholders to capture sustainability metrics
Drive process improvements to enhance reporting efficiency
Ensure adherence to ESG frameworks and reporting standards

Requirements

Hands-on experience with Workiva (required)
Extensive experience handling large datasets and data validation
Advanced skills in Microsoft Excel and related data tools
Strong analytical and problem-solving abilities
High attention to detail and ability to work independently
Excellent organizational and time-management skills

Technologies

Workiva
Microsoft Excel

Benefits

401(k) plan
Dental insurance
Health insurance
Vision insurance

Preferred Qualifications

Experience with carbon accounting or greenhouse gas emissions reporting
Knowledge of ESG and sustainability reporting frameworks
Experience with data integration, BI tools, or reporting platforms

Ideal Candidate

Detail-oriented and data-driven problem solver
Comfortable in a technical, systems-focused role
Passionate about data accuracy and process improvement
Interested in sustainability and ESG initiatives

Why Join

Contribute to meaningful sustainability and ESG initiatives
Play a key role in data-driven decision making
Opportunity to build and enhance reporting systems
Collaborative environment focused on continual improvement

Pay

Hourly rate: USD 40.00 - 50.00

Experience

Workiva/ESG Reporting: 3 years (preferred)
Data analysis: 3 years (preferred)

Ability to Commute

Westerville, OH 43082 (Required)

Application Question

Where do you live?

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3mo ago

Senior Data Engineer

Brooksource Tampa, FL

Tampa, FL

3mo ago Closed

$70 - $75/hr Full time Senior Cloud Cloud Operations

This position is no longer accepting applications (closed Jul 27, 2026).

Job Description

Overview

As a senior member of the data engineering team, you will drive the architecture and delivery of scalable data systems that support analytics, reporting, and strategic decision making. The position emphasizes technical leadership and hands on work with SAP data integration within hybrid cloud environments.

Responsibilities

Design and implement robust data pipelines, models, and ingestion frameworks to enable advanced analytics and machine learning.
Build and maintain scalable data infrastructure on cloud platforms such as Azure, AWS, or GCP.
Incorporate SAP data sources into enterprise data platforms for comprehensive reporting and analysis.
Maintain data integrity, reliability, and performance across multiple systems and applications.
Lead efforts to reduce data redundancy and establish single sources of truth through effective data modeling and integration.
Act as the technical lead on cross functional data initiatives, guiding design choices to align with business goals.
Collaborate with developers, analysts, and business stakeholders to translate requirements into scalable data solutions.
Supervise database upgrades, migrations, and performance optimization activities.
Develop and enforce standards for data governance, security, and lifecycle management.
Mentor junior data engineers and analysts, sharing best practices and technical growth.
Evaluate emerging technologies and recommend adoption strategies to enhance data capabilities.
Create training materials and documentation to support team development and knowledge sharing.

Requirements

Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.
6-8+ years of experience in data engineering, database administration, or related roles.
Advanced proficiency in SQL and programming languages such as Python or R.
Expertise in relational and NoSQL databases (for example Oracle, SQL Server, MongoDB).
Strong experience with cloud data platforms (Azure, AWS, GCP) and tools (Snowflake, Databricks).
Experience integrating and analyzing data from SAP systems (such as SAP HANA, SAP BW, SAP ECC).
Proven ability to lead technical projects and mentor team members.

Technologies

SQL
Python
R
Oracle
SQL Server
MongoDB
Azure
AWS
GCP
Snowflake
Databricks
SAP HANA
SAP BW
SAP ECC

Benefits

Dental insurance
Health insurance
Vision insurance

Location

Tampa, Florida, onsite.

Pay

USD 70.00 - 75.00 per hour

Team Environment

The role involves collaboration with IT architects, developers, and strategic planners, as well as business stakeholders, project managers, contractors, consultants, and vendors supporting utility operations.

Core Values

Champion innovation and continuous improvement
Drive operational excellence and customer value
Uphold safety, integrity, and strategic thinking

Soft Skills

Strategic thinker with strong problem solving abilities
Excellent communication and leadership capabilities
Ability to manage multiple priorities and deliver results in a fast paced environment

Qualifications

Required: Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field
Required: 6-8+ years of experience in data engineering, database administration, or related roles
Required: Advanced proficiency in SQL and programming languages such as Python or R
Required: Expertise in relational and NoSQL databases (e.g., Oracle, SQL Server, MongoDB)
Required: Strong experience with cloud data platforms (Azure, AWS, GCP) and tools (Snowflake, Databricks)
Required: Experience integrating and analyzing data from SAP systems (e.g., SAP HANA, SAP BW, SAP ECC)
Required: Proven ability to lead technical projects and mentor team members
Preferred: Experience in the utility industry or similar regulated environments
Preferred: Familiarity with big data technologies and distributed computing frameworks
Preferred: Knowledge of data governance, compliance, and audit practices

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3mo ago

Data Engineer - Contractor

System One Miamisburg, OH

Miamisburg, OH

3mo ago Closed

Contract Data Analysis Data Engineer Data Engineering

This position is no longer accepting applications (closed Jul 27, 2026).

Job Description

System One is seeking an onsite Contract Data Engineer to support data integration, ETL, QA validation, and regulatory reporting for mortgage and banking platforms. The engagement spans multiple locations including Pittsburgh, PA; Farmers Branch, TX; Miamisburg, OH; and Houston, TX, with the on-site work centered in Miamisburg.

Responsibilities

Gather business and technical requirements from multiple lines of business and source systems
Design, develop, and support data integration and database solutions across mortgage and banking platforms
Collaborate with QA teams on upfront testing and deployment validation activities
Coordinate with ETL and downstream technical teams to define data movement specifications
Support deployment activities into QA and Production environments
Ensure deployment documentation, validation, and operational processes are accurate and complete
Participate in data normalization, analysis, and process improvement initiatives
Support regulatory reporting and enterprise data aggregation efforts

Requirements

Solid hands-on experience with SQL
Experience with SQL Server
Experience with Oracle
Excellent verbal and written communication skills
Strong stakeholder interaction and requirements gathering experience
Ability to work independently and manage priorities effectively

Technologies

SQL
SQL Server
Oracle

Nice to Have

Performance tuning or debugging experience
Banking or financial services domain experience
Experience supporting ETL/data movement processes

Soft Skills

Strong communication and presentation skills
Self-driven and proactive mindset
Strong organizational and prioritization abilities
Ability to work effectively with business and technical stakeholders

Environment / Team

Team consists of Data Engineers and Quality Engineers
Heavy interaction with business users and technical teams
Focused on Home Lending Technology and Mortgage Data Platforms
Agile, collaborative, and fast-paced environment

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3mo ago

Lead Data Engineer

Fiberutilities Group Cedar Rapids, IA

Cedar Rapids, IA

3mo ago Closed

Full time Azure Cloud Cloud Platforms

This position is no longer accepting applications (closed Jul 27, 2026).

Job Description

Lead Data Engineer to own the design, implementation, and evolution of Fiberutilities Group's data integration ecosystem with external partners, in a hybrid role centered on Azure-based ETL/ELT pipelines and data quality.

Responsibilities

Oversee the full lifecycle of data integrations, from architecture to implementation, with external partners
Design, build, and maintain ETL/ELT pipelines to ingest, transform, and load external data into Azure SQL
Define data modeling standards, establish schemas, and create data contracts for external data domains
Implement data quality programs and frameworks to monitor and improve data reliability
Leverage machine learning and advanced techniques to enhance data cleansing, matching, and enrichment
Institutionalize coding standards, development best practices, and peer review processes for data engineering work

Requirements

7+ years of experience in data architecture or data engineering
Strong track record designing and building ETL/ELT pipelines in an Azure-centric environment
2+ years in a senior or lead capacity
Bachelor's degree preferred, or equivalent professional experience

Technologies

Azure SQL
Azure

Benefits

Health insurance
Dental insurance
Vision insurance
Paid time off
401(k) plan with company match
401(k) matching
Life insurance
Short-term and long-term disability insurance
Eligible for annual bonus
Retirement plan

Education

Bachelor's degree (Preferred)

Experience

Data engineering: 7+ years (Preferred)
Azure ETL/ELT pipeline development: 1 year (Preferred)
Lead or Senior-level experience: 1 year (Preferred)

Ability to commute

Cedar Rapids, IA 52401 (Required)

Work location

Hybrid remote in Cedar Rapids, IA 52401

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3mo ago

Senior Data Engineer

Space Telescope Science Institute Baltimore, MD

Baltimore, MD

3mo ago Closed

$125k - $150k/yr Full time Senior Big Data Cloud Operations

This position is no longer accepting applications (closed Jul 27, 2026).

Job Description

Senior Data Engineer at Space Telescope Science Institute will manage backend data pipelines and MPP database systems for the Mikulski Archive for Space Telescopes (MAST), enabling high-performance data access, with a hybrid work arrangement in Baltimore, MD, residency/ITAR requirements, a salary range of USD 125,000 - 150,000 per year, and a minimum of 8 years of experience plus a Bachelor's or Master's degree in computer science, information technology, or a related discipline.

Responsibilities

Manage PostgreSQL and MPP platform performance and operations
Design, implement, deploy, monitor, and troubleshoot complex data pipelines using Apache Airflow to process, transform, and load large-scale datasets reliably
Build, maintain, and continually improve data systems supporting scientific research, including relational databases and cloud-based lakehouse architectures
Ensure data accuracy, accessibility, observability, and reliability through proactive monitoring, alerting, and incident response
Collaborate with scientists, data engineers, and cross-functional teams to translate requirements into robust, scalable platform solutions

Requirements

Advanced expertise in PostgreSQL and Greenplum MPP
Strong proficiency with Apache Airflow
Hands-on experience with AWS cloud services
Strong Python programming skills and proficiency in SQL and SQL performance tuning
Extensive experience designing, building, and optimizing data pipelines at scale

Technologies

PostgreSQL
Greenplum
Apache Airflow
AWS
Python
SQL
Trino
Apache Iceberg
Lakehouse

Benefits

Employer retirement contribution – direct STScI contribution of 10% of your salary from your first day
12 days sick leave
Up to 24 days of vacation
10 paid holidays
Flexible work schedule with healthy work/life balance
Comprehensive medical, dental, vision, prescription plans, and more

Growth opportunities

Specialize in Trino for distributed querying
Work with Apache Iceberg for lakehouse management
Explore Greenplum or other MPP systems and large-scale performance tuning
Tackle complex challenges with high-volume scientific data, query optimization, and modern data infrastructure

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3mo ago

Senior Data Engineer

ienjoy Home Clearwater, FL

Clearwater, FL

3mo ago Closed

Full time Senior Analytical Skills Analytics

This position is no longer accepting applications (closed Jul 27, 2026).

Job Description

Based in Clearwater, Florida, the Senior Data Engineer will design, maintain, and evolve ienjoy Home's data infrastructure, including production pipelines, cloud databases, and reporting. This on-site role combines hands-on engineering with leadership of a small team and coaching on the use of AI tools in daily workflows.

Responsibilities

Guide and develop a two-person data team consisting of a Data Engineer and a Data Validation Analyst
Define technical direction and standards for pipeline design, data modeling, and data quality controls
Prioritize and allocate work across the team, balancing new development with operational reliability
Review the team's code, SQL, and validation outputs to ensure quality
Implement data quality and validation processes, ensuring issues are tracked and resolved at the source
Act as the escalation point for data issues, performing root-cause analysis and durable fixes
Train the team on effective use of AI tooling in daily workflows
Present technical status, risks, and findings to both technical and non-technical stakeholders
Manage and evolve production pipelines powering e-commerce order processing across the full data lifecycle, including API integration, ETL design, SQL modeling, orchestration, and reliability
Design, build, and optimize database schemas and data models in CloudSQL and BigQuery
Develop ETLs that connect external APIs and internal systems
Build and own API integrations to ingest data from sales channels and ERP into the internal database
Oversee GCP data infrastructure, including CloudSQL, BigQuery, and VM cron scheduling
Establish and maintain CI/CD and automation using GitHub Actions and YAML workflows
Manage channel and order integrations such as ingesting orders into CloudSQL, pushing orders to ERP, and tracking-number automation, with ongoing improvements
Enforce security best practices, including IAM authentication across databases and tooling
Connect data pipelines to Google Sheets, Excel, and the broader Google Workspace for reporting
Support and maintain reporting dashboards using Looker Studio and Power BI
Monitor systems, troubleshoot issues promptly, and implement lasting solutions

Requirements

4+ years in data engineering or a closely related role, with experience owning production data pipelines
Proven hands-on experience with Google Cloud Platform (GCP): CloudSQL, BigQuery, and VM cron job scheduling
Advanced SQL skills including schema design, data modeling, query optimization, and debugging
Proficient in Python for ETL, automation, and data processing (familiarity with Google Colab)
Experience building and maintaining API integrations
Strong familiarity with GitHub, GitHub Actions, and YAML-based CI/CD workflows
Working knowledge of Linux and shell scripting
Experience designing and optimizing relational database schemas (PostgreSQL/MySQL)
Comfortable using AI tools (Claude, Gemini, ChatGPT, NotebookLM, etc.) as part of daily workflows
Experience integrating data with Google Sheets, Excel, Power Query, and Google Workspace
Experience with data visualization tools (Looker Studio, Power BI)
Excellent communication skills for explaining technical concepts to non-technical audiences
Highly organized, detail-oriented, self-motivated, and eager to learn
Collaborative and adaptable, thriving in a fast-paced environment
Local to the Clearwater, FL area and able to work in the office

Technologies

Google Cloud Platform (GCP)
CloudSQL
BigQuery
SQL
Python
Google Colab
GitHub Actions
YAML
Looker Studio
Power BI
Google Sheets
Excel
Power Query
Google Workspace
PostgreSQL
MySQL
Linux
Shell scripting
VM cron job scheduling
Claude
Gemini
ChatGPT
NotebookLM
Datastream

Benefits

401(k)
401(k) matching
Dental insurance
Employee discount
Health insurance
Health savings account
Paid time off
Vision insurance

Nice to Have

Prior experience leading, mentoring, or coordinating work of other engineers or analysts
Experience with order-to-fulfillment or supply-chain data flows
Architectural mindset and strong systems thinking
Experience with data quality and validation frameworks
Familiarity with marketing data sources and Datastream-to-BigQuery pipelines

Work Location

In person, onsite in Clearwater, FL

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3mo ago

Data Engineer

Luna Data Solutions, Inc. Butler, IN

Butler, IN

3mo ago Closed

Full time Analytics Business Analytics Business Intelligence

This position is no longer accepting applications (closed Jul 27, 2026).

Job Description

What we offer

Small team where you can make a big impact
Competitive compensation and benefits

Luna Data Solutions, Inc. is seeking a Data Engineer to design structured data models, develop SQL driven data warehouses, and build reliable pipelines feeding analytics and operational applications across multiple manufacturing facilities. This onsite role in Butler, Indiana, involves collaboration with a data architect and other technical partners to deliver scalable data solutions.

Responsibilities

Develop sophisticated SQL artifacts, including complex queries, stored procedures, views, and triggers to support analytics and operations.
Design and maintain centralized structured data models and warehouse environments used across several facilities.
Build, refine, and troubleshoot ETL and ELT pipelines to support large scale data ingestion.
Ensure data accuracy, consistency, and reliability across interconnected systems.
Monitor and optimize data workflows and query performance to meet business needs.
Collaborate with architects, engineers, and operational teams to translate requirements into scalable data solutions.
Document data flows, schemas, and definitions for long term maintainability.
Adhere to data governance, security, and compliance standards.
Manage assigned work independently and deliver on commitments.
Communicate technical concepts clearly to both technical and non-technical audiences.
Engage in ongoing learning to stay current with evolving data technologies.

Requirements

5 to 7 years of professional SQL experience in a SQL heavy environment.
5 to 7 years of experience in data analytics or a related discipline.
Hands-on experience with Qlik and/or Power BI, with Qlik being used more heavily across the group.
Proven background in data engineering, analytics engineering, or similar roles.
Strong SQL proficiency, including advanced queries, stored procedures, and triggers.
Experience with relational databases and data modeling concepts.
Experience building and maintaining ETL/ELT pipelines.
Experience supporting BI, reporting, or analytics environments.
Familiarity with data quality monitoring practices.
Experience with cloud data platforms, data warehouses, or data lakes.
Strong written and verbal communication skills.
Demonstrated ownership of data solutions and deliverables.
Bachelor’s degree in a relevant field, equivalent experience, or industry certifications.
Proficiency with Microsoft SQL Server.
Experience in manufacturing or industrial environments.