326 results for Data Engineer jobs

Data Analyst

Palo Alto, CA
onsite
Temporary
52.25 - 60.5 USD / Hourly
We are looking for a skilled Data Analyst to join our growing team in Palo Alto, California. This long-term contract position offers an exciting opportunity to contribute to high-tech engineering projects, leveraging your expertise in data analysis to drive impactful results. The role requires occasional onsite work on Wednesdays while primarily operating remotely. Responsibilities: • Perform detailed data analysis to identify trends, anomalies, and actionable insights. • Utilize advanced Excel and Google Sheets skills to manage, manipulate, and interpret large datasets. • Collaborate with internal teams to support data-driven decision-making processes. • Extract and process data from systems like Workday, ensuring accuracy and relevance. • Adapt quickly to changing priorities and efficiently handle multiple tasks. • Assist with fraud detection and prevention through data investigation and analytics. • Prepare comprehensive reports and visualizations to effectively communicate findings. • Support the implementation and optimization of tools such as Pave and Radford. • Work closely with the Directors of Global Benefits and Perks to align data analysis with organizational goals. • Provide training and guidance on system usage and data interpretation as needed.
2026-03-19T00:00:00Z

Data Analyst

Palm Beach Gardens, FL
onsite
Temporary
0 - 0 USD / Yearly
The Data Analyst is responsible for transforming complex datasets into meaningful insights that support decision-making across the organization. This role works closely with business stakeholders, technical teams, and leadership to analyze data, build dashboards, optimize reporting workflows, and contribute to data-driven strategies. The position requires strong analytical capability, solid technical skills, and the ability to explain findings to non‑technical audiences.Key ResponsibilitiesData Management & Preparation<ul><li>Extract, clean, transform, and validate data from multiple sources including databases, spreadsheets, APIs, and cloud platforms.</li><li>Maintain data dictionaries, definitions, and documentation to ensure consistency across reporting environments.</li><li>Perform quality assurance checks to detect anomalies, missing values, inconsistencies, or data integrity issues.</li></ul>Analysis & Reporting<ul><li>Conduct exploratory data analysis to identify trends, performance drivers, and actionable insights.</li><li>Develop KPI dashboards, visualizations, and interactive reports using BI tools such as Power BI, Tableau, or Looker.</li><li>Prepare regular operational, financial, or performance reports for business units and leadership.</li><li>Translate business questions into analytical approaches and summarize findings clearly for stakeholders.</li></ul>SQL & Database Work<ul><li>Write intermediate to advanced SQL queries for data extraction, filtering, aggregation, and joining across relational databases.</li><li>Optimize query performance and support development of reusable SQL logic for reporting and analytics.</li><li>Collaborate with data engineers on schema changes, new data pipelines, and data model improvements.</li></ul>Advanced Analytics & Automation<ul><li>Build automated reporting workflows using SQL, Python, R, or ETL tools to reduce manual effort.</li><li>Perform statistical analysis, forecasting, segmentation, and other analytical techniques as needed.</li><li>Support experimentation, A/B testing, cohort analysis, or predictive modeling initiatives.</li></ul>Cross‑Functional Collaboration<ul><li>Partner with Finance, Operations, Marketing, Product, and IT to understand data needs and develop analytical solutions.</li><li>Gather user requirements, define scope, and manage expectations throughout analytics projects.</li><li>Present insights and recommendations to leadership in a clear, structured format.</li></ul>Data Governance & Best Practices<ul><li>Ensure compliance with internal data standards, privacy rules, and access policies.</li><li>Contribute to documentation, SOPs, and data governance initiatives to enhance data literacy across the business.</li><li>Support continuous improvement of analytics processes, dashboards, and metrics.</li></ul>
2026-03-13T00:00:00Z

Data Analyst

Somerville, NJ
onsite
Temporary
27.7115 - 32.087 USD / Hourly
We are looking for a skilled Data Analyst with expertise in marketing analytics and reporting to join our team on a long-term contract basis. This role will focus on transforming data from various digital marketing channels into actionable insights that drive strategic decision-making. Based in Somerville, New Jersey, you will collaborate with cross-functional teams to optimize campaign performance and user experience through data-driven solutions. Responsibilities: • Design and manage dashboards and reports using tools such as Power BI, Tableau, or Looker to monitor key performance indicators across marketing initiatives. • Utilize SQL and Python to extract, clean, and analyze large datasets from multiple sources, including websites and advertising platforms. • Conduct audits of website and organic search health using tools like Screaming Frog, identifying opportunities to enhance visibility and traffic. • Analyze user behavior through platforms like HotJar to uncover UX insights and recommend actionable improvements. • Collaborate with teams to define measurement requirements and implement effective tracking solutions. • Develop and maintain scalable LookML models and explore layers in Looker to support self-service reporting. • Provide regular summaries of campaign performance, including forecasting models and data analyses, to stakeholders. • Automate routine reporting processes to ensure efficient and consistent data delivery. • Present complex data findings in visually compelling formats, translating them into practical recommendations for marketing strategies.
2026-03-19T00:00:00Z

Data Analyst

Cincinnati, OH
remote
Temporary
69.35 - 80.3 USD / Hourly
We are looking for a skilled Data Analyst to join our team on a long-term contract basis in Cincinnati, Ohio. In this role, you will leverage your expertise to analyze data patterns, identify potential fraudulent activities, and support investigations with actionable insights. This position offers an excellent opportunity to contribute to fraud prevention and detection strategies while working with diverse datasets. Responsibilities: • Analyze large datasets to identify trends, anomalies, and potential fraudulent activities. • Develop and implement fraud detection models and analytics tools. • Collaborate with fraud investigation teams to provide data-driven insights and recommendations. • Monitor and assess data for suspected fraudulent behavior, ensuring timely identification and reporting. • Create detailed reports and visualizations to support anti-fraud initiatives. • Enhance existing fraud prevention strategies through continuous data analysis. • Conduct regular audits of data systems to ensure accuracy and reliability. • Work closely with cross-functional teams to improve fraud detection capabilities. • Maintain and safeguard data integrity throughout all analytical processes.
2026-03-20T00:00:00Z

Data Analyst

Saint Louis, MO
onsite
Temporary
40 - 50 USD / Hourly
About the RoleWe’re seeking a Data Analyst to support reporting, analytics, and data-driven decision-making across the organization. This individual will extract, transform, analyze, and present data to business leaders, helping improve operations, customer experience, and strategic outcomes.Key Responsibilities<ul><li>Collect, clean, and validate data from multiple systems (ERP, CRM, cloud platforms, internal databases).</li><li>Build dashboards, reports, and visualizations using tools such as Power BI, Tableau, or Excel.</li><li>Perform trend analysis, KPI tracking, and ad‑hoc analytics to support business decisions.</li><li>Partner with IT, finance, operations, and leadership teams to understand data needs and deliver insights.</li><li>Develop SQL queries, joins, stored procedures, and dataset pipelines for reporting.</li><li>Monitor data integrity and recommend process/data quality improvements.</li><li>Translate complex data findings into clear, actionable recommendations for non‑technical stakeholders.</li></ul>
2026-03-20T00:00:00Z

Database Analyst

Jersey City, NJ
onsite
Contract / Temporary to Hire
47.5 - 55 USD / Hourly
We are looking for an experienced Database Analyst to join our team in Jersey City, New Jersey. This Contract-to-Permanent position offers an opportunity to make a significant impact by leveraging advanced analytics and statistical methodologies to optimize user experiences and drive product innovation. The ideal candidate will collaborate with cross-functional teams to deliver data-driven insights, guide experimentation strategies, and improve key business metrics. Responsibilities: • Conduct comprehensive analytical projects to identify opportunities and address challenges within the user journey. • Serve as a strategic partner to product leaders by providing data-based recommendations to shape roadmaps and prioritize initiatives. • Utilize advanced statistical methods, including regression analysis, Bayesian inference, and clustering, to derive actionable insights. • Design and execute experimentation strategies, including A/B testing and quasi-experimental methods, to measure and enhance product performance. • Develop predictive models to anticipate user behavior and assess long-term impacts on business outcomes. • Create and maintain executive-level dashboards to monitor product KPIs and communicate findings effectively using visualization tools. • Translate complex data analyses into clear, actionable recommendations for senior leadership. • Mentor less experienced team members, fostering their skills in analytics, communication, and stakeholder engagement. • Collaborate with engineering and UX teams to ensure alignment and integration of analytical solutions.
2026-03-19T00:00:00Z

Data Engineer (AI/ML)- Oil & Gas Exp

Houston, TX
onsite
Contract / Temporary to Hire
57 - 66 USD / Hourly
We are looking for a skilled Data Engineer with expertise in AI/ML technologies and prior experience in the oil and gas industry to join our team in Houston, Texas. In this Contract to permanent position, you will play a key role in transforming data into actionable insights through advanced analytics and innovative solutions. This opportunity is ideal for professionals who thrive in data-driven environments and excel at leveraging tools like Power BI and PowerApps. Responsibilities: • Develop and manage Power BI dashboards and reports to deliver meaningful insights from raw data. • Utilize PowerApps to create and maintain applications that support business intelligence initiatives. • Collaborate with cross-functional teams to understand data requirements and implement solutions. • Analyze complex datasets to identify trends and patterns that inform decision-making. • Ensure the accuracy, reliability, and security of data within BI systems. • Optimize data pipelines and workflows for improved performance and scalability. • Provide technical expertise to support AI/ML integration into existing data processes. • Stay updated on emerging technologies and best practices in data engineering and AI/ML. • Troubleshoot and resolve issues related to data tools and processes. • Document processes, workflows, and methodologies for future reference.
2026-03-18T00:00:00Z

Database Developer

Galveston, TX
onsite
Temporary
0 - 0 USD / Yearly
Robert Half is looking for an experienced database developer with a strong SQL Server background. In this role, you'll be working to design, build and develop a new server with the right database architecture. If you consider yourself an authority on writing SQL code and love developing new systems, this may be the position for you. What you get to do every single day · Design, code, and implement a SQL server for database management · Generate a database schema based on application related function and type of the data · Import existing data into the database · Build a method for storing future database data · Ensure internal quality control of data imported and ongoing analysis of data integrity · Ensure security and integrity of the database including scheduled backups · Provide documentation and training to database administrator. Provide training to other users as necessary
2026-03-09T00:00:00Z

Database Developer

Glen Rock, PA
onsite
Permanent
135000 - 145000 USD / Yearly
We are looking for a skilled Database Developer to join our team in Glen Rock, Pennsylvania. In this role, you will work closely with business users to design, develop, and maintain Oracle-based applications, ensuring system integrity and compliance. This position offers the opportunity to contribute to critical technical solutions and collaborate with internal and external teams. Responsibilities: • Provide technical and functional support for Oracle EBS modules, including Manufacturing and Finance. • Collaborate with stakeholders to gather requirements and create tailored solutions within Oracle systems. • Develop and maintain applications using Oracle tools to support labeling, manufacturing, and system extensions. • Coordinate with vendors and internal teams to implement system enhancements and provide ongoing support. • Create detailed functional specifications and assist with system configuration and testing processes. • Diagnose production issues through root cause analysis and implement effective long-term solutions. • Ensure data integrity and compliance with regulatory standards across Oracle-based applications.
2026-03-13T00:00:00Z

Database Developer

Anaheim, CA
onsite
Permanent
100000 - 150000 USD / Yearly
We are looking for a skilled SQL Developer to join our clients team in Anaheim, California. In this role, you will design and optimize database structures, develop efficient data pipelines, and create reliable reports and dashboards to support organizational goals. The ideal candidate will have a strong background in database management and programming, with the ability to ensure data integrity and high performance across all systems. Responsibilities:• Develop and implement advanced database structures, stored procedures, and queries to support organizational needs.• Optimize data transfer processes and ensure minimal latency when moving data between production systems and the data warehouse.• Design and generate automated and on-demand reports for both internal stakeholders and external clients.• Perform database performance tuning, including managing indexes and maintenance plans to ensure optimal efficiency.• Maintain and manage the data warehouse to support reliable and scalable data storage solutions.• Collaborate with project leaders and stakeholders to ensure database solutions align with business objectives.• Work closely with vendors and IT teams to ensure databases are backed up, replicated, and maintained effectively.• Conduct error handling, transaction rollbacks, and nested procedure creation to enhance database reliability.• Utilize ETL processes to transform and load data accurately and efficiently.• Evaluate and integrate products to align with the organization's data strategy.
2026-03-03T00:00:00Z

Data Scientist: III

Columbus, OH
onsite
Temporary
47 - 52 USD / Hourly
OverviewWe are seeking a highly analytical Data Scientist / Advanced Analytics Specialist to leverage advanced analytics, machine learning, and statistical modeling techniques to extract insights from complex business data. This role focuses on building data‑driven models, conducting large‑scale experimentation, and influencing business decisions through actionable insights.The ideal candidate is intellectually curious, thrives in ambiguous problem spaces, and enjoys applying cutting‑edge analytics techniques to real‑world business challenges. Key Responsibilities<ul><li>Apply advanced analytics methods to extract value from structured and unstructured business data</li><li>Design and execute large‑scale experiments and develop data‑driven models to answer complex business questions</li><li>Conduct research on emerging techniques and tools in machine learning, deep learning, and artificial intelligence</li><li>Define requirements used to train, evaluate, and evolve predictive and deep learning models</li><li>Analyze results and present data‑based recommendations to product, business, and technical teams</li><li>Influence decision‑making through clear, compelling data storytelling and insights</li><li>Support ongoing analytics initiatives and perform additional duties as assigned</li></ul>
2026-03-18T00:00:00Z

Data Warehouse Analyst

Princeton, NJ
onsite
Permanent
70000 - 80000 USD / Yearly
We are looking for a skilled Data Warehouse Analyst to join our team in New Jersey. In this role, you will transform logistics challenges into actionable insights through advanced data analysis and reporting. By collaborating with cross-functional teams, you will play a pivotal role in enhancing operational efficiency and driving key business decisions. Responsibilities:• Collaborate with Operations, Transportation, and Finance teams to establish and refine KPIs that drive logistics and fulfillment performance.• Develop and optimize labor planning and forecasting models for warehouse and delivery operations, partnering closely with recruitment teams.• Analyze distribution and fulfillment data to uncover performance trends and identify cost-saving opportunities.• Design and maintain dashboards and reports to provide real-time insights into logistics metrics, including delivery times, warehouse productivity, and route optimization.• Automate reporting processes to improve accuracy and timeliness of operational data.• Continuously enhance data integrity and streamline workflows to optimize logistics operations.• Work on data modeling and warehousing projects to support scalable analytics and reporting solutions.• Partner with stakeholders to deliver clear and actionable insights to improve decision-making processes.• Investigate and implement tools and techniques to improve overall business intelligence capabilities.
2026-03-18T00:00:00Z

Senior Data Engineer

Philadelphia, PA
remote
Temporary
56 - 65 USD / Hourly
OverviewWe are seeking a Senior Data Engineer to support a major Salesforce Phase 2 data migration initiative. This role will focus heavily on building and optimizing data pipelines, developing ETL workflows, and moving CRM data from Salesforce into Databricks.The engineer will work closely with a senior team member, contribute to Scrum ceremonies, and play a key role in developing the core CRM data environment used by the advertising organization. Key ResponsibilitiesData Engineering & Migration<ul><li>Develop ETL jobs that move and transform Salesforce data into Databricks.</li><li>Build, test, and maintain high‑volume data pipelines across AWS + Databricks.</li><li>Perform data migration, data integration, and pipeline development (including Mulesoft-related work).</li><li>Ensure all pipelines are reliable, scalable, and optimized for production.</li></ul>Development & Infrastructure<ul><li>Use Python and PySpark to build ETL components and transformation logic.</li><li>Leverage Spark/PySpark for distributed processing at scale (must‑have).</li><li>Use Terraform to provision and manage cloud infrastructure.</li><li>Set up CI/CD pipelines using Concourse or GitHub Actions for automated deployments.</li></ul>Quality, Documentation & Support<ul><li>Document ETL processes, pipelines, and data flows.</li><li>Participate in testing, QA, and validation of migrated datasets.</li><li>Provide post‑delivery support and proactively mitigate project risks or single points of failure (SPOF).</li><li>Troubleshoot production issues and implement long‑term fixes to maintain pipeline stability.</li></ul>Collaboration<ul><li>Work closely with engineering teammates to translate business requirements into working pipelines.</li><li>Participate in weekly Scrum ceremonies.</li><li>Contribute to shared best practices and continuous improvement across the data engineering team.</li></ul>
2026-03-12T00:00:00Z

Senior Data Engineer

Playa Vista, CA
onsite
Permanent
165000 - 200000 USD / Yearly
For immediate response please message Valerie Nielsen on LinkedIn or email! Job Title: Senior Data Engineer Location: Hybrid – Westwood (Los Angeles, CA) near University of California, Los Angeles Compensation: $175,000 – $185,000 base salary + 10% annual bonus Employment Type: Full-Time OverviewWe are seeking a Senior Data Engineer to join a growing data team in Westwood, CA. This role will focus on designing and building scalable data pipelines, supporting analytics and reporting initiatives, and improving data infrastructure across the organization.The ideal candidate is highly experienced with Snowflake, dbt, Python, and modern data pipeline architecture, and enjoys working closely with analytics and business teams to deliver reliable, high-quality data. Experience integrating data from CRM platforms such as Salesforce is a strong plus. Key Responsibilities<ul><li>Design, develop, and maintain scalable data pipelines supporting analytics, reporting, and operational data needs</li><li>Build and optimize data models and transformations using dbt within a Snowflake data warehouse environment</li><li>Develop robust ETL/ELT workflows using Python and modern data engineering best practices</li><li>Collaborate with analytics teams to deliver clean, reliable datasets used in Power BI dashboards and reporting</li><li>Ensure data quality, reliability, and performance across the data platform</li><li>Optimize Snowflake warehouse performance and manage cost-efficient data storage and compute usage</li><li>Integrate data from internal and external systems, including CRM and SaaS platforms</li><li>Partner with stakeholders across engineering, product, and business teams to define data requirements and solutions</li><li>Maintain documentation and promote data engineering standards and best practices</li></ul>
2026-03-13T00:00:00Z

Senior Data Engineer

Glendale, CA
onsite
Temporary
80 - 87 USD / Hourly
We are seeking a Senior Data Engineer – Ingest to help transform data into meaningful insights and power innovation across the organization. In this role, you will work with a collaborative team of technologists to build scalable data solutions, integrate diverse data sources, and strengthen the core data platform. Your engineering expertise will directly support analytics, data science, operations, and key business stakeholders.If you’re passionate about building high‑quality data systems that make a measurable impact, this role offers the opportunity to shape the future of a large, data‑driven organization. Key Responsibilities<ul><li>Maintain, update, and expand configuration‑driven data pipelines within the core data platform.</li><li>Build tools and services supporting data discovery, lineage, governance, and privacy.</li><li>Partner with software engineers, data engineers, architects, and product managers to deliver reliable and scalable data solutions.</li><li>Help define and document data standards, naming conventions, pipeline best practices, and system guidelines.</li><li>Ensure the reliability, accuracy, and operational efficiency of datasets to meet SLAs.</li><li>Participate in Agile/Scrum ceremonies and contribute to ongoing process improvements.</li><li>Collaborate closely with users and stakeholders to understand needs and prioritize enhancements.</li><li>Maintain detailed technical documentation to support data quality, governance, and compliance requirements.</li></ul>
2026-03-05T00:00:00Z

Senior Data Engineer

Brentwood, NY
onsite
Permanent
110000 - 140000 USD / Yearly
We are looking for a highly skilled Senior Data Engineer to join our team in Edgewood, New York. This role is ideal for someone who is detail oriented and has expertise in developing scalable data pipelines, modeling data structures, and optimizing data infrastructure for performance and reliability. The right candidate will play a key role in shaping our data engineering function and collaborating with cross-functional teams to deliver impactful solutions. Responsibilities: • Design and maintain efficient and scalable data pipelines to support various operational and commercial systems. • Develop and manage modern data warehouse infrastructure using tools such as BigQuery and dbt. • Integrate, transform, and organize data from multiple sources into structured, queryable formats. • Create and manage logical and physical data models to enhance analytics and reporting capabilities. • Collaborate with stakeholders to enable self-service reporting and build dashboards using platforms like Looker and Looker Studio. • Implement best practices for data engineering, including testing, monitoring, and ensuring pipeline reliability. • Optimize the performance, scalability, and cost-efficiency of data pipelines and warehouses. • Partner with engineering, operations, and business teams to translate data needs into scalable solutions. • Contribute to the improvement of engineering processes, coding standards, and documentation. • Mentor team members and support onboarding as the team grows.
2026-02-26T00:00:00Z

Senior Data Engineer

Woodbury, MN
onsite
Permanent
140000 - 155000 USD / Yearly
We are looking for an experienced Senior Data Engineer to join our team in Woodbury, Minnesota. In this role, you will play a key part in designing and optimizing data systems, ensuring scalability and reliability for business-critical operations. The ideal candidate will have a strong background in data engineering and a passion for leveraging technology to drive impactful solutions. Responsibilities: • Redesign and optimize complex business logic embedded in Postgres functions to improve functionality. • Develop scalable database schemas and create data models that are optimized for analytics and AI applications. • Implement database partitioning, indexing, and performance tuning to ensure data growth is supported efficiently. • Build and maintain production-grade data pipelines from data ingestion to end-user consumption. • Establish robust processes for data quality assurance, monitoring, and operational reliability within pipelines. • Troubleshoot and resolve data-related and performance issues directly in production environments. • Collaborate with cross-functional teams to ensure seamless integration of data systems into business processes.
2026-03-11T00:00:00Z

Senior Data Engineer

Boston, MA
onsite
Permanent
150000 - 170000 USD / Yearly
We are looking for an experienced Senior Data Engineer to join our team in Boston, Massachusetts. In this role, you will be responsible for designing and building a robust data platform from the ground up, playing a pivotal part in shaping the data strategy and supporting AI-driven initiatives. This is a unique opportunity to contribute to the creation of a new data engineering function within a dynamic financial services environment. This role is hybrid, onsite in Boston 3 days a week. Responsibilities:• Design, develop, and implement a scalable data platform using Microsoft Fabric and other technologies within the Microsoft ecosystem.• Collaborate with stakeholders to define the data strategy and implement solutions that align with business goals.• Oversee and manage external consultants assisting with the development of the data platform.• Support AI enablement initiatives by ensuring the data architecture meets analytical and operational needs.• Create and maintain ETL processes to ensure efficient data extraction, transformation, and loading.• Optimize database performance across SQL, NoSQL, and other database systems.• Utilize Python for data engineering tasks, including scripting and automation.• Work closely with IT and analytics teams to ensure seamless integration of the data platform into existing systems.• Provide technical leadership and guidance while exploring future opportunities to build and expand the data engineering function.• Ensure compliance with industry standards and best practices in data security and management.
2026-03-05T00:00:00Z

Data/Information Architect

New York, NY
onsite
Temporary
66.5 - 77 USD / Hourly
We are looking for a highly experienced Data/Information Architect to lead the design and implementation of enterprise-wide data architecture solutions. This long-term contract position offers the opportunity to shape scalable, efficient, and high-performance data systems that align with organizational goals. The ideal candidate will have a strong background in data modeling, governance frameworks, and modern lakehouse architectures, working collaboratively with both technical teams and business stakeholders to deliver actionable insights. Responsibilities: • Develop and maintain enterprise data models that support analytics, reporting, and operational needs. • Implement best practices for data modeling in a lakehouse architecture, ensuring scalability and alignment with business requirements. • Architect data structures using methodologies such as Star Schema, Snowflake Schema, and Data Vault for optimal performance. • Collaborate with stakeholders to gather data requirements and ensure business objectives are met. • Work alongside Data Engineers to create physical data models optimized for Microsoft Fabric and Delta Lake environments. • Establish governance processes, including metadata management, data lineage, and quality assurance protocols. • Define and manage canonical data models across key business domains to ensure consistency. • Document and enforce data modeling standards to drive adoption across engineering teams. • Assess and enhance existing data models, identifying areas for improvement in performance and alignment. • Provide strategic guidance on data management tools and technologies to support organizational goals.
2026-03-20T00:00:00Z

Data/Information Architect

Dallas, TX
onsite
Permanent
200000 - 220000 USD / Yearly
We are seeking a hands-on Senior Enterprise Architect in Artificial Intelligence (AI) to join our global Enterprise Architecture team. This role blends deep technical expertise with architectural design and practical implementation to drive AI-powered transformation initiatives. As part of a forward-thinking global technology team, you’ll collaborate across business, data, and product functions to design and implement AI/ML solutions that enable digital products and services. Key Responsibilities Design and architect enterprise-scale AI/ML solutions across areas such as Machine Learning, Generative AI, Deep Learning, Virtual Assistants, and Cognitive Services (Vision/Image, Text/Language processing). Develop and communicate AI roadmaps, future-state architectures, and design artifacts. Rapidly prototype and build proof-of-concepts (PoCs) and MVPs for AI models and algorithms. Evaluate and recommend AI/ML tools, platforms, and frameworks; conduct ROI analysis. Experiment with and fine-tune LLMs, train custom models, and assess performance metrics. Perform data exploration, cleansing, and feature engineering to prepare datasets for model training. Guide and mentor engineering and data science teams through AI/ML solution design, deployment, and integration into enterprise workflows. Continuously scan industry innovations and apply emerging AI/ML technologies to business problems. What We’re Looking For Strong technical and business acumen in creating technology-driven solutions. Passion for experimenting with and adopting emerging AI/ML technologies. Excellent communication and influencing skills; ability to present complex technical concepts to both technical and non-technical audiences. Proven ability to balance timeliness, cost, and quality in solution design. Experience leading digital transformation, target operating models, and performance improvement initiatives. Qualifications Bachelor’s degree in STEM or related field (MBA a plus). 5+ years in AI/ML solution architecture, prototyping, and experimentation. 5+ years working with AWS and/or Azure data, analytics, and AI services. 3+ years of experience with data science tools and frameworks. Recent, hands-on experience with Generative AI, LLMs, and Agentic AI platforms. Knowledge of cloud-native services (data storage, compute, networking, security). Strong understanding of statistical methods, data preprocessing, and feature engineering.
2026-02-24T00:00:00Z

Data Scientist: II (Intermediate)

Columbus, OH
onsite
Temporary
35 - 42 USD / Hourly
Data Scientist 3 month Contract to Hire Location: 4x Onsite Hybrid Columbus, OHPay: Available on W2 A leading financial services organization is seeking a data-driven Data Scientist to join its Enterprise Analytics team. In this role, you will leverage customer, product, channel, and digital data to uncover opportunities that enhance consumer experience and drive business growth. You will translate complex analytical findings into clear, actionable insights for stakeholders across Product, Marketing, Digital, and senior leadership.This position offers the chance to influence strategic decisions across the enterprise while working within a collaborative, high-performing analytics and data science group. Responsibilities<ul><li>Transform data from enterprise analytics tools into actionable insights related to customer behavior, digital sales, servicing performance, and value delivery.</li><li>Communicate findings and recommendations clearly to internal stakeholders and senior leadership.</li><li>Participate in cross-functional initiatives, providing opportunity analysis, measurement plans, dashboards, and post-release/testing analyses.</li><li>Translate complex technical concepts into intuitive visualizations, dashboards, and presentations.</li><li>Extract and analyze data using tools such as Python, R, and SAS.</li><li>Build intuitive, automated dashboards with a focus on anomaly detection and actionable visualization.</li><li>Partner with Digital, Marketing, Product, IT, Fraud, and Risk teams to evaluate initiatives and identify/mitigate risks.</li><li>Develop and refine KPIs and metrics to assess digital and omnichannel performance.</li><li>Create self-service assets that enable business partners to access and interpret data independently.</li><li>Apply automation techniques to streamline manual analytical processes.</li></ul>
2026-03-19T00:00:00Z

Sr. Python Data Engineer

Boston, MA
remote
Permanent
160000 - 180000 USD / Yearly
Data Engineer (Python / AWS)Location: Remote (Northeast / Greater Boston area preferred)Type: Full-TimeLevel: Mid-to-Senior Individual ContributorAbout the RoleWe are looking for a strong individual contributor who excels in the Python data ecosystem and enjoys building reliable, scalable data pipelines. This role sits within a data engineering group responsible for integrating large volumes of data from external partners and transforming it into usable datasets for internal teams. You’ll work with modern cloud tools while also helping our team gradually transition away from a legacy platform.This position is ideal for someone who wants to stay hands-on, focus on technical execution, and remain in an IC role for the next several years. We’re not looking for someone who is aiming to move immediately into architecture or leadership.This team is fully distributed, and although candidates in the Boston area can go into the office, the rest of the group is remote. Anyone local may occasionally sit with other teams when on site. What You’ll Do<ul><li>Build and maintain ETL pipelines that ingest, clean, and aggregate data received from external vendors and large enterprise partners.</li><li>Develop Python‑based data processing workflows deployed on AWS cloud services.</li><li>Work with tools such as AWS Glue, Airflow, dbt, and PySpark to support data transformations and pipeline orchestration.</li><li>Help modernize existing workflows and assist in the gradual migration away from a legacy data system.</li><li>Collaborate with internal stakeholders to understand data needs, define requirements, and ensure reliable integration of partner data feeds.</li><li>Troubleshoot pipeline issues, optimize performance, and improve overall system stability.</li><li>Contribute to best practices around code quality, testing, documentation, and data governance.</li></ul>
2026-03-10T00:00:00Z

Data Manager

New Haven, CT
remote
Permanent
150000 - 170000 USD / Yearly
We're hiring for a Data Manager who will be hands on technically while managing a team. This is a role where you will be performing code reviews, managing data developers and engineers, performance reviews, and working closely with other department heads. You will be responsible to manage resources across multiple projects at any given time. In this role you will be responsible to manage meetings, support the data strategy, work with scrum masters and project managers to break down tasks and create user stories giving clear task lists to teams. We are looking for someone who can present to leadership and be the hands-on mentor/manager. Apply today for immediate consideration!
2026-03-03T00:00:00Z

Data Scientist: III (Senior)

Columbus, OH
onsite
Temporary
35 - 45 USD / Hourly
We are looking for a highly skilled Senior Data Scientist to join our Enterprise Analytics team in Easton, OH. This long-term contract position offers the opportunity to leverage cutting-edge data science techniques to drive business insights and optimize customer experiences. As part of a centralized team, you will collaborate across departments to influence strategic decisions and deliver actionable insights that align with organizational goals. This will be a contract-to-permanent role, 4 days onsite per week in the Easton neighborhood of Columbus. Responsibilities:• Utilize advanced analytics techniques to analyze business data and uncover actionable insights.• Develop and implement large-scale experiments and data-driven models to address complex business challenges.• Conduct research on emerging tools and methodologies in machine learning, deep learning, and artificial intelligence.• Define requirements for training and evolving deep learning models and algorithms.• Present data-driven recommendations to product teams and other stakeholders to guide decision-making.• Partner with cross-functional teams, including Marketing, Finance, IT, and Sales, to support organizational goals.• Create intuitive data visualizations and performance metrics to enable stakeholders with actionable insights.• Collaborate within an Agile development framework to support projects from inception to delivery.• Influence the direction of the organization through impactful analytics and strategic consultation.• Perform other duties as needed to support the broader analytics team.
2026-03-18T00:00:00Z

Sr. Data Engineer

Las Vegas, NV
onsite
Permanent
120000 - 125000 USD / Yearly
We are seeking a Senior Data Engineer to join a growing data engineering team responsible for building and scaling an enterprise data platform. This role will focus on developing cloud-based data pipelines within Google Cloud Platform (GCP) while also supporting elements of a legacy on-premise data warehouse environment during an ongoing cloud migration. The ideal candidate will have strong experience building scalable data pipelines, event-driven data architectures, and cloud-native data services. This is a great opportunity to contribute to a rapidly expanding data ecosystem and help drive the transition to modern cloud data platforms. Key Responsibilities Design, build, and maintain data pipelines within Google Cloud Platform (GCP) Develop event-driven data streaming solutions using Pub/Sub Build and maintain Python-based services using Cloud Run Develop and optimize BigQuery datasets and queries Integrate new data sources into the enterprise data platform Maintain and support existing ETL processes within SQL Server Work with SSIS and stored procedures in legacy data environments Monitor, troubleshoot, and optimize data pipeline performance Collaborate with engineering teams to support data-driven initiatives Participate in on-call rotations for production systems Required Qualifications 5+ years of experience in Data Engineering Strong experience with Google Cloud Platform (GCP) Experience building data pipelines and ETL processes Experience with Pub/Sub or event-driven data streaming Strong experience with BigQuery Proficiency in Python Experience with Cloud Run or similar serverless services Strong SQL experience including SQL Server Experience with SSIS or similar ETL tools
2026-03-06T00:00:00Z

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