308 results for Big Data Engineer in Jserrors

Data Engineer

Dallas, TX
onsite
Permanent
135000.00 - 160000.00 USD / Yearly
We are looking for a Senior Data Engineer to develop and optimize enterprise data systems that support analytics and digital solutions. In this role, you will design and implement robust data architectures, ensuring seamless data integration and transformation processes across the organization. Your expertise will drive the creation of reliable pipelines and scalable infrastructure, enabling advanced analytics and machine learning capabilities. Responsibilities: • Design and implement scalable data pipelines using Databricks, Spark, and Delta Lake to support enterprise-level analytics. • Develop and maintain efficient data models tailored for AI, analytics, and operational systems. • Lead Master Data Management initiatives to establish unified and accurate data records across platforms. • Create batch and near-real-time data processing workflows for structured and semi-structured datasets. • Collaborate with AI and software development teams to ensure delivery of high-quality datasets for machine learning. • Define and enforce data architecture standards, ensuring scalability, reliability, and governance. • Troubleshoot and optimize data systems to maintain performance and reliability in complex environments. • Partner with cloud and IT teams to integrate modern data platforms and ensure seamless functionality.
2026-03-11T17:04:01Z

Senior Data Engineer

Woodbury, MN
onsite
Permanent
140000.00 - 155000.00 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.
2026-03-11T14:58:42Z

Data Engineer

Savannah, GA
remote
Contract / Temporary to Hire
35.63 - 41.25 USD / Hourly
We are looking for a skilled Data Engineer to support our organization's data initiatives in Savannah, Georgia. This Contract to permanent role focuses on managing, optimizing, and securing data systems to drive strategic decision-making and improve overall performance. The ideal candidate will work closely with technology teams, analytics departments, and business stakeholders to ensure seamless data integration, accuracy, and scalability. Responsibilities: • Design and implement robust data lake and warehouse architectures to support organizational needs. • Develop efficient ETL pipelines to process and integrate data from multiple sources. • Collaborate with analytics teams to create and refine data models for reporting and visualization. • Monitor and maintain data systems to ensure quality, security, and availability. • Troubleshoot data-related issues and perform in-depth analyses to identify solutions. • Define and manage organizational data assets, including SaaS tools and platforms. • Partner with IT and security teams to meet compliance and governance standards. • Document workflows, pipelines, and architecture for knowledge sharing and long-term use. • Translate business requirements into technical solutions that meet reporting and analytics needs. • Provide guidance and mentorship to team members on data usage and best practices.
2026-03-09T14:04:42Z

Senior Data Engineer

Edgewood, NY
onsite
Permanent
110000.00 - 140000.00 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.
2026-02-26T15:38:45Z

Data Engineer

Wayne, PA
onsite
Contract / Temporary to Hire
71.25 - 82.50 USD / Hourly
We are looking for a skilled Data Engineer to join our team in Wayne, Pennsylvania, on a contract to permanent basis. This role offers an exciting opportunity to design, implement, and optimize data pipelines while integrating applications with various digital marketplaces. The ideal candidate will bring strong technical expertise and a collaborative mindset to support business insights and analytics effectively. Responsibilities: • Develop and maintain data pipelines and ensure seamless application connectivity with digital marketplaces such as TikTok Shop, Shopify, and Amazon. • Collaborate closely with business teams to understand requirements and provide actionable analytics. • Lead the creation of scalable and efficient data solutions tailored to business needs. • Apply expertise in Python, Snowflake, and other relevant technologies to deliver high-quality results. • Facilitate and support integrations with e-commerce platforms, leveraging previous experience where applicable. • Build robust APIs and ensure their effective implementation. • Utilize Microsoft SQL for database management and optimization. • Provide technical guidance and mentorship to ensure project success. • Troubleshoot and resolve issues related to data workflows and integrations. • Continuously evaluate and improve processes to enhance efficiency and performance.
2026-02-23T21:43:51Z

Data Engineer

Houston, TX
onsite
Contract / Temporary to Hire
79.16 - 91.66 USD / Hourly
We are looking for a highly skilled Data Engineer to join our team in Houston, Texas. This Contract to permanent position offers an exciting opportunity to work on cutting-edge data solutions and collaborate with cross-functional teams to deliver impactful results. The ideal candidate will possess strong technical expertise and a passion for creating efficient and scalable data systems. Responsibilities: • Design and implement scalable data architectures to support business needs and analytics requirements. • Develop and optimize ETL pipelines for data extraction, transformation, and loading across diverse data sources. • Collaborate with stakeholders to gather requirements and translate them into technical solutions. • Utilize tools such as Apache Spark, Hadoop, and Kafka to manage large-scale data processing and real-time streaming. • Ensure data quality and security by implementing best practices and conducting thorough testing. • Develop and maintain technical documentation related to system design, development processes, and operational workflows. • Work with Agile teams to deliver solutions efficiently while actively participating in sprints and ceremonies. • Troubleshoot and resolve issues in existing data systems to maintain optimal performance. • Provide guidance and conduct code reviews for entry level team members. • Stay updated on emerging technologies and recommend improvements to enhance data engineering practices.
2026-03-19T13:48:43Z

Data Engineer

Mayville, WI
remote
Temporary
66.50 - 77.00 USD / Hourly
We are looking for an experienced Data Engineer to join our dynamic team in Mayville, Wisconsin. In this role, you will play a key part in developing and enhancing reporting and analytics solutions within a modern data environment. The ideal candidate is passionate about transforming complex data into actionable insights, improving processes, and creating reliable reporting systems. This is a long-term contract position offering the opportunity to make a meaningful impact within a collaborative and forward-thinking team. Responsibilities: • Design, develop, and maintain scalable data pipelines to support reporting and analytics needs. • Create and optimize Power BI dashboards and reports to deliver accessible and trustworthy insights. • Automate workflows using Power Automate to improve operational efficiency. • Develop scripts using languages such as PowerShell or Python to streamline data processing tasks. • Integrate and manage data sources including Oracle, Snowflake (hosted within Azure), and other enterprise systems. • Collaborate with stakeholders to gather requirements and deliver customized solutions. • Support the transition to cloud-based data environments, including Azure Data Warehouse and Fabric. • Troubleshoot and resolve data-related issues, ensuring data integrity and reliability. • Document processes and workflows to ensure clarity and maintainability. • Stay updated on industry trends to recommend and implement innovative data solutions.
2026-03-05T20:34:06Z

Sr. Python Data Engineer

Boston, MA
remote
Permanent
160000.00 - 180000.00 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>
2026-03-10T19:18:46Z

Data Engineer

Grand Rapids, MI
onsite
Permanent
110000.00 - 140000.00 USD / Yearly
We are looking for a talented Data Engineer to join our team in Grand Rapids, Michigan. In this role, you will focus on designing, building, and optimizing robust data solutions using Snowflake and other cloud-based technologies. You will work closely with business intelligence and analytics teams to deliver scalable, high-performance data pipelines that support organizational goals. Responsibilities: • Design and implement scalable data models, schemas, and tables within Snowflake, including staging, integration, and presentation layers. • Develop and optimize data pipelines using Snowflake tools such as Snowpipe, Streams, Tasks, and stored procedures. • Ensure data security and access through role-based controls and best practices for data sharing. • Build and maintain ETL pipelines leveraging tools like dbt, Matillion, Fivetran, Informatica, or Azure-native solutions. • Integrate data from diverse sources such as APIs, IoT devices, and NoSQL databases to create unified datasets. • Enhance performance by utilizing clustering, partitioning, caching, and efficient warehouse sizing strategies. • Collaborate with cloud technologies such as AWS, Azure, or Google Cloud to support Snowflake infrastructure and operations. • Implement automated workflows and CI/CD processes for seamless deployment of data solutions. • Maintain high standards for data accuracy, completeness, and reliability while supporting governance and documentation. • Work closely with analytics, reporting, and business teams to troubleshoot issues and deliver scalable solutions.
2026-03-03T14:48:42Z

Data Engineer

Jacksonville, FL
onsite
Temporary
- USD / Hourly
OverviewWe are looking for a Data Engineer to design, build, and maintain data solutions that enable reporting, analytics, and informed decision‑making.Responsibilities<ul><li>Design and maintain data pipelines and data models</li><li>Extract, transform, and load (ETL) data from multiple sources</li><li>Develop dashboards, reports, and analytics for business users</li><li>Ensure data accuracy, integrity, and governance</li><li>Collaborate with stakeholders to understand reporting needs</li></ul>
2026-03-18T21:48:44Z

Data Engineer

Denton, TX
onsite
Permanent
100000.00 - 120000.00 USD / Yearly
Our client is looking for an experienced Data Governance Analyst to join their growing team. They need someone who can: Lead the development and implementation of data governance frameworks to support academic, administrative, and research data needs across the university system. Establish data stewardship roles and clarify data ownership for key institutional domains such as student information, financial aid, HR, research compliance, and finance. Create and enforce data policies, standards, and procedures to improve data quality, accuracy, accessibility, and security across campuses and departments. Ensure compliance with higher-ed regulatory and reporting requirements (e.g., FERPA, IPEDS, NCAA, state reporting), and coordinate with Legal, IT Security, and Institutional Compliance teams. Implement and optimize governance technology (data catalog, lineage, and quality tools) to support system-wide reporting, analytics, and decision support. Promote data literacy and provide training to faculty, staff, and administrators to enhance responsible and effective data use. Facilitate collaboration across academic units, administrative offices, and central IT to align governance efforts with institutional priorities and operational needs. Monitor data quality and governance KPIs, report progress to leadership, and drive continuous improvement to support strategic planning, accreditation, and institutional research initiatives. Expereince as a Data Governance analyst. They have a fragmented Data Governance framework in place, and the goal is for this person to unify it across the enterprise. The ideal candidate will be a data Governance Analyst looking for a more challenging opportunity to lead the implementation of Purview and advancing our data governance practices. Administration experience with Microsoft Purview or a similar tool like Collibra, Informatica, Databricks, Etc. This role will be assisting to connect Microsoft Fabric to Purview. Experience with Microsoft Purview is preferred. They have the Data Security layer of Purview implemented. This role will be working with the Microsoft partner implement the Data Governance layer (Unified Data Catalogue, Data Quality, Data Lineage, Data Health management.) See attached overview. Excellent communication skills. Someone who will lead change and help advance their DG practice. Get buy in from stakeholders.
2026-03-17T17:48:44Z

Data Engineer

Greenville, SC
onsite
Permanent
- USD / Yearly
Robert Half is hiring! We are looking for an experienced Data Engineer to join our team in Greenville, South Carolina. This role offers an exciting opportunity to work with modern data technologies, ensuring the efficient operation and optimization of data pipelines and systems. The ideal candidate will bring a strong technical background, leadership skills, and a proactive approach to maintaining and improving data infrastructure. Responsibilities:• Oversee daily data loads and ensure the smooth operation of data pipelines and related systems.• Troubleshoot and resolve issues such as pipeline failures, performance bottlenecks, schema mismatches, and cloud resource disruptions.• Conduct root-cause analyses and implement permanent solutions to prevent recurring issues.• Maintain and optimize existing data processes, refactoring or retiring outdated workflows as necessary.• Design and build scalable data ingestion pipelines using technologies such as Azure Data Factory, Databricks, and Synapse Pipelines.• Collaborate with teams to create and improve operational runbooks, monitoring dashboards, and incident response workflows.• Develop reusable ingestion patterns for platforms like Guidewire DataHub, InfoCenter, and other business data sources.• Lead the implementation of real-time and event-driven data engineering solutions to enable operational insights and automation.• Partner with architects to modernize data workloads using advanced frameworks like Delta Lake and Medallion Architecture.• Mentor entry-level engineers, enforce coding best practices, and review code to ensure quality and compliance.
2026-03-11T12:23:45Z

Data Engineer

Houston, TX
onsite
Contract / Temporary to Hire
95.00 - 110.00 USD / Hourly
We are looking for a skilled Data Engineer to join our team in Houston, Texas. In this Contract to permanent position, you will play a key role in designing, developing, and optimizing data solutions while collaborating with cross-functional teams to deliver impactful results. This role offers an excellent opportunity to contribute to innovative projects and mentor other developers. Responsibilities: • Design and implement scalable data solutions using tools such as Apache Spark, Hadoop, and Kafka. • Build and maintain efficient ETL processes to ensure seamless data transformation and integration. • Collaborate with product owners, business analysts, and stakeholders to gather requirements and translate them into technical solutions. • Optimize and troubleshoot complex data workflows to enhance performance and reliability. • Lead technical discussions and provide architectural guidance for best practices and development standards. • Mentor entry level developers and conduct code reviews to ensure high-quality deliverables. • Integrate data solutions with existing systems and third-party tools using APIs and cloud platforms. • Stay updated with the latest data engineering technologies and proactively recommend improvements. • Work within Agile/Scrum teams to deliver solutions aligned with user stories and project goals. • Ensure compliance with security and quality standards through thorough documentation and testing.
2026-03-19T13:48:43Z

Data Engineer

Washington, DC
remote
Temporary
40.00 - 59.50 USD / Hourly
Data Modeling and Analysis<ul><li>Design data models and optimize performance: Creating the structure of data relationships ensuring efficient data retrieval and calculations.</li><li>Create calculated columns and measures: Using DAX to calculate derived values and aggregate metrics.</li><li>Perform exploratory data analysis (EDA): Using BI tools to explore data, identify trends, and patterns.</li><li>Apply advanced data analysis techniques (e.g., statistical analysis, time series analysis, predictive modeling).</li><li>Integrate machine learning models into Power BI dashboards.</li><li>Experience building semantic models</li></ul>Dashboard Development and Visualization<ul><li>Designing dashboards: Creating visually appealing and interactive dashboards.</li><li>Creating visualizations: Using charts, graphs, and other visual elements to represent data.</li><li>Implementing interactivity: Adding filters, slicers, and drill-down capabilities.</li><li>Expertise in SQL and DAX and knowledge of Python, R.</li><li>Strong proficiency in Power BI.</li><li>Data modeling and visualization skills.</li><li>Strong problem-solving skills to address technical challenges and data quality issues.</li><li>Analytical skills with capacity to analyze complex data problems and draw meaningful insights.</li></ul>
2026-03-18T21:48:44Z

Senior Data Engineer - Python

West Des Moines, IA
remote
Temporary
- USD / Hourly
We are looking for an experienced Senior Data Engineer with a strong background in Python and modern data engineering tools to join our team in West Des Moines, Iowa. This is a long-term contract position that requires expertise in designing, building, and optimizing data pipelines and working with cloud-based data warehouses. If you thrive in a collaborative environment and have a passion for transforming raw data into actionable insights, we encourage you to apply. Responsibilities: • Develop, debug, and optimize Python-based data pipelines using frameworks such as Flask, Django, or FastAPI. • Design and implement data transformations in a data warehouse using tools like dbt, ensuring high-quality analytics-ready datasets. • Utilize Amazon Redshift and Snowflake for managing large-scale data storage and performing advanced querying and optimization. • Automate data integration processes using platforms like Fivetran and orchestration tools such as Prefect or Airflow. • Build reusable and maintainable data models to improve performance and scalability for analytics and reporting. • Conduct data analysis and visualization leveraging Python libraries such as NumPy, Pandas, TensorFlow, and PyTorch. • Manage version control for data engineering projects using Git and GitHub. • Ensure data quality through automated testing and validation processes. • Document workflows, code, and data transformations following best practices for readability and maintainability. • Optimize cloud-based data warehouse and lake platforms for performance and integration of new data sources.
2026-03-06T14:58:40Z

Senior / Lead Database Engineer

Radnor, PA
onsite
Permanent
140000.00 - 150000.00 USD / Yearly
The Opportunity: Be part of a dynamic team that designs, develops, and optimizes data solutions supporting enterprise-level products across diverse industries. This role provides a clear track to higher-level positions, including Lead Data Engineer and Data Architect, for those who demonstrate vision, initiative, and impact. Key Responsibilities: Design, develop, and optimize relational database objects and data models using Microsoft SQL Server and Snowflake. Build and maintain scalable ETL/ELT pipelines for batch and streaming data using SSIS and cloud-native solutions. Integrate and utilize Redis for caching, session management, and real-time analytics. Develop and maintain data visualizations and reporting solutions using Sigma Computing, SSRS, and other BI tools. Collaborate across engineering, analytics, and product teams to deliver impactful data solutions. Ensure data security, governance, and compliance across all platforms. Participate in Agile Scrum ceremonies and contribute to continuous improvement within the data engineering process. Support database deployments using DevOps practices, including version control (Git) and CI/CD pipelines (Azure DevOps, Flyway, Octopus, SonarQube). Troubleshoot and resolve performance, reliability, and scalability issues across the data platform. Mentor entry level team members and participate in design/code reviews.
2026-03-05T20:23:48Z

Data Engineer

Tampa, FL
onsite
Contract / Temporary to Hire
- USD / Hourly
We are looking for a skilled Data Engineer to join our team in Tampa, Florida. This is a Contract to permanent position, offering an excellent opportunity to contribute to innovative business intelligence solutions while advancing your career. The ideal candidate will have a strong background in data engineering, database design, and analytics, with the ability to solve complex problems and deliver high-quality results. Responsibilities: • Design and implement robust business intelligence solutions tailored to meet organizational needs. • Collaborate with stakeholders to gather user requirements and translate them into technical and functional specifications. • Create and maintain databases and data marts that support analytics and reporting activities. • Develop and optimize ETL processes to efficiently load data into data marts. • Monitor and ensure the accuracy, consistency, and quality of data within databases and reporting systems. • Recommend and implement governance practices to improve self-service BI and analytics capabilities. • Develop automated data validation checks to maintain data integrity and accuracy. • Utilize dimensional modeling and star/snowflake schemas to design effective data warehouses. • Troubleshoot and debug issues across application and database layers to ensure smooth operations. • Perform exploratory data analysis to identify trends, anomalies, and areas for improvement.
2026-03-04T17:04:09Z

Senior Database Engineer

Salt Lake City, UT
remote
Contract / Temporary to Hire
65.00 - 73.00 USD / Hourly
We are looking for a Senior Database Engineer to provide expert technical leadership for our global, cloud-based data infrastructure. This role involves designing, operating, and optimizing scalable, secure, and resilient database systems to support enterprise-scale workloads across AWS and Azure. As this is a Contract position with the possibility of becoming permanent, it offers an excellent opportunity to contribute to the development of cutting-edge database solutions while collaborating with cross-functional teams. Responsibilities: • Design and manage multi-region database architectures across AWS and Azure to support geo-distributed workloads. • Architect and maintain relational, NoSQL, and document databases such as Snowflake, PostgreSQL, DynamoDB, Cosmos DB, and MongoDB. • Lead hands-on database migrations between cloud platforms and legacy systems with a focus on scalability and reliability. • Implement indexing strategies, optimize queries, and establish scaling patterns for handling large datasets and real-time applications. • Enhance database performance to ensure high availability, low latency, and cost efficiency at an enterprise level. • Support and refine data ingestion workflows and pipeline integrations using tools like AWS Glue, Step Functions, Lambda, and Azure Data Factory. • Collaborate with Data Engineering teams to develop streaming solutions using Kafka, Kinesis, and AWS services. • Apply robust security measures, including encryption, access controls, and secrets management, to protect database systems. • Develop disaster recovery strategies and maintain backup solutions to ensure data integrity and availability. • Monitor database systems using tools like CloudWatch, Azure Monitor, and Datadog, ensuring optimal reliability and performance.
2026-03-12T21:23:42Z

AWS/Databricks Engineer

Houston, TX
onsite
Temporary
- USD / Hourly
We are looking for an experienced AWS/Databricks Engineer to join our team in Houston, Texas. This is a long-term contract position ideal for professionals with a strong background in data engineering and cloud technologies. The role will focus on leveraging Python and Databricks to optimize data processes and enhance system performance. Responsibilities: • Develop and implement scalable data engineering solutions using Python and Databricks. • Collaborate with cross-functional teams to design and optimize data workflows. • Migrate and enhance existing Python scripts to Databricks for improved functionality. • Utilize cloud technologies to support data integration and analytics processes. • Implement algorithms and data visualization methods to present actionable insights. • Design and maintain APIs to streamline data interactions and integrations. • Work with tools like Apache Kafka, Spark, and Hadoop to manage large-scale data systems. • Perform data analysis and develop strategies to improve system efficiency. • Ensure high-quality data pipelines and address performance bottlenecks. • Stay updated on emerging trends in data engineering and recommend innovative solutions.
2026-03-09T13:33:41Z

Data Analyst / Engineer

Woburn, MA
remote
Temporary
55.41 - 64.16 USD / Hourly
We are looking for a skilled Data Analyst / Engineer to join our team on a contract basis remotely. This role focuses on financial data processing, automation, and reporting within a dynamic environment. The ideal candidate will excel at managing data workflows, automating manual processes, and delivering accurate insights to support business decisions. Responsibilities:• Extract and reconcile financial data from multiple databases, ensuring accuracy and consistency across accounts receivable, accounts payable, and general ledger lanes.• Automate manual reporting processes by developing repeatable daily and month-end pipelines for reliable and auditable data.• Design and oversee data workflows across development, production, and utility databases, ensuring secure and efficient access.• Create and deliver advanced Excel-based reports using macros, formulas, and Power Query to enhance usability for finance teams.• Implement data validation and snapshot techniques to support reconciliation and decision-making processes.• Ensure the traceability and accuracy of financial data by establishing robust controls and audit mechanisms.• Collaborate with stakeholders to understand reporting requirements and translate them into scalable solutions.• Utilize expertise in SQL and Teradata Data Warehouse to optimize database objects and queries for performance.• Develop and maintain documentation for automated processes and data workflows to ensure clarity and continuity.
2026-03-13T12:28:40Z

SQL Database Administrator

Richmond, VA
onsite
Temporary
50.00 - 55.00 USD / Hourly
Job OverviewWe are seeking an experienced SQL Database Administrator / Data Engineer to support a major data platform modernization and cloud migration initiative. This role will focus on migrating on-premises SQL Server databases to AWS, building data pipelines, and supporting modern cloud-based database environments.The ideal candidate will have strong hands-on experience with AWS database services, Python-based data processing, and data pipeline development. This individual will play a key role in ensuring data reliability, performance monitoring, and scalable data architecture supporting enterprise applications.This position requires a hybrid work schedule, with 2–3 days onsite in Richmond, VA and additional onsite presence as requested by the manager.WKey Responsibilities<ul><li>Support the migration of on-premises SQL Server databases to AWS and Snowflake environments</li><li>Build and maintain AWS-based data pipelines</li><li>Develop Python scripts for data generation, transformation, and bulk data loading</li><li>Design and maintain logical and physical data models</li><li>Support application teams using Amazon RDS and DynamoDB</li><li>Assist with data validation, migration testing, and performance tuning</li><li>Develop operational dashboards and monitoring metrics for database performance</li><li>Ensure data quality, system efficiency, and reporting reliability</li><li>Support BAU operations for SQL Server and cloud database environments</li></ul>
2026-03-16T14:53:43Z

Data Scientist

Edison, NJ
onsite
Contract / Temporary to Hire
72.96 - 84.48 USD / Hourly
We are looking for a skilled Data Scientist to join our team on a contract with the potential for a permanent position in Edison, New Jersey. This hybrid role requires working on-site two days a week, collaborating with stakeholders to develop and implement AI-driven solutions. Ideal candidates will have expertise in data strategy, AI technologies, and tools such as Databricks and Informatica. Responsibilities: • Develop and implement AI-driven use cases that align with organizational goals and objectives. • Design and optimize data strategies using platforms like Databricks and Informatica. • Collaborate with cross-functional teams, including data engineers and business stakeholders, to create scalable AI/ML solutions. • Evaluate and enhance data pipelines to ensure efficient deployment of AI models. • Stay informed on the latest AI advancements and recommend innovative approaches to improve business operations. • Provide guidance on data governance, ensuring adherence to best practices for data quality and security. • Analyze business challenges and translate them into actionable AI solutions that drive results. • Support the integration of advanced analytics frameworks into existing systems and processes.
2026-03-19T11:58:43Z

Software Engineer

Hanover, NH
onsite
Permanent
- USD / Yearly
Location: Hybrid — 2 days per month on-site in New HampshireEmployment Type: Full-TimeAbout the RoleWe’re seeking a talented Software Engineer with deep experience in Oracle APEX and PL/SQL. You should also have a strong background integrating third-party applications like Salesforce. This role is ideal for someone who enjoys collaborating with cross-functional teams, designing scalable solutions, and enhancing business systems through thoughtful engineering and integrations. As part of our team, you’ll play a key role in building and maintaining applications that drive critical business workflows. You’ll leverage your Oracle APEX expertise to architect solutions and your integration experience to ensure smooth data flows between platforms.This is a hybrid position, requiring two days per month on-site in New Hampshire for team collaboration, planning, or project workshops. Key Responsibilities<ul><li>Design, develop, and maintain applications using Oracle Application Express (APEX).</li><li>Build, optimize, and troubleshoot integrations with third-party systems, including Salesforce and other enterprise platforms.</li><li>Develop APIs, data pipelines, and middleware solutions to support seamless cross-system communication.</li><li>Collaborate with business stakeholders to gather requirements and translate them into technical specifications.</li><li>Ensure application performance, security, and reliability through best practices.</li><li>Participate in code reviews, testing, deployment, and documentation of software solutions.</li><li>Support ongoing enhancements, bug fixes, and system improvements.</li></ul>Required Qualifications<ul><li>Hands-on experience with Oracle APEX development.</li><li>Proven experience designing and implementing Salesforce integrations (REST/SOAP APIs, middleware tools, or direct platform integration).</li><li>Strong proficiency with SQL, PL/SQL, and Oracle database structures.</li><li>Experience working with APIs, integration frameworks, and data transformation workflows.</li><li>Solid understanding of software development best practices, including version control, testing, and documentation.</li><li>Excellent analytical, troubleshooting, and communication skills.</li><li>Ability to work in a hybrid environment and be on-site in New Hampshire twice per month.</li></ul>Preferred Qualifications<ul><li>Experience with additional integration platforms (e.g., MuleSoft, Boomi, Workato).</li><li>Background working in enterprise environments or supporting mission-critical systems.</li><li>Familiarity with Agile methodologies.</li><li>Knowledge of secure coding practices and data governance.</li></ul>
2026-03-09T18:08:44Z

Full Stack Software Engineer (React / Node)

Englewood Cliffs, NJ
onsite
Permanent
110000.00 - 140000.00 USD / Yearly
We are seeking a reliable, business-aligned Full Stack Delivery Engineer to take ownership of critical systems and ensure consistent, predictable delivery across our technology stack. This role is ideal for a developer who values shipping working software, collaborating across disciplines, and operating within real-world constraints. You will work on production systems that directly impact operations, revenue, and customer experience. We are not looking for a “10x developer”. We are looking for someone who finishes what they start, documents what they build, and treats deadlines seriously. What Success Looks Like in This Role<ul><li>Features ship when expected</li><li>Progress is visible weekly</li><li>Estimates are conservative and reliable</li><li>Systems are understandable by others</li><li>No single person becomes a bottleneck</li></ul>Key ResponsibilitiesDelivery & Execution<ul><li>Deliver production-ready features tied to clear milestones and acceptance criteria</li><li>Break work into small, testable, demoable increments</li><li>Communicate risks early and adjust plans based on reality—not optimism</li></ul>Front-End Development<ul><li>Build and maintain responsive front-end applications using modern frameworks such as React or Next.js</li><li>Integrate front-end components cleanly with backend APIs</li><li>Prioritize usability and operational clarity over visual perfection</li></ul>Back-End & Systems Integration<ul><li>Build and maintain backend services and APIs (Node.js / TypeScript; Rust familiarity is a plus)</li><li>Integrate with third-party services including Stripe, shipping providers, and messaging systems</li><li>Work with inventory, asset tracking, and operational data systems</li></ul>Data & Infrastructure<ul><li>Design and work with relational databases (PostgreSQL / MySQL preferred)</li><li>Write safe, understandable data migrations</li><li>Support logging, monitoring, and observability for production systems</li></ul>Collaboration & Accountability<ul><li>Work closely with operations, product, and leadership—not just engineers</li><li>Document APIs, assumptions, and system behavior</li><li>Participate in code reviews with an emphasis on clarity and maintainability</li><li>Accept review and feedback without defensiveness</li></ul>
2026-02-25T08:03:49Z

Full Stack Engineer

New York, NY
onsite
Temporary
61.75 - 71.50 USD / Hourly
Must have skills: • 3–6 years of professional software engineering experience, with a strong portfolio of full stack development work. • Proficiency in Python, including experience with web frameworks such as Flask or Dash. • Experience integrating frontend applications with RESTful APIs and backend services. • Relational and non-relational databases: SQL, MongoDB, and/or Snowflake using Python. • Designing data models for effective data storage and retrieval (preferably SQL, MongoDB, Snowflake). • Debugging, issue resolution, and troubleshooting. • Developing systems integrated with cloud services, such as for storage or secrets management (preferably AWS). • Designing and troubleshooting ETL pipelines. • Developing REST APIs using Python frameworks (preferably Flask). • Publishing Python packages, maintaining them, and building Python CLI tools. • Deploying REST APIs in containerized environments (Kubernetes), working with other developers in the team to integrate those APIs with web applications. Nice to have skills: • Exposure to financial systems, SEC API, and/or corporate credit modeling is strongly preferred. • Familiarity with UX design tools (Figma) and solid understanding of the design-engineering hand-off process • Familiarity with deployment pipelines, CICD tools (preferably GitLab). • Configuring observability and alerting services (preferably Datadog and Opsgenie). • Containerized development and deployment (i.e. Docker, Kubernetes) • Writing infrastructure as code (preferably Terraform). • Integrating managed authentication services (preferably Auth0). • Familiarity with LLM Document Parsing and Data Framework services (preferably LlamaParse and LlamaIndex) • Familiarity with LLM Observability tooling (preferably Weave) • Experience with the OpenAI SDK • Experience with Vector Databases (preferably MongoDB)
2026-02-18T13:53:44Z

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