403 results for Database Analyst jobs

Data Reporting Analyst

Cincinnati, OH
onsite
Temporary
56.2115 - 65.087 USD / Hourly
We are looking for a highly skilled Data Reporting Analyst to join our team in Cincinnati, Ohio. In this long-term contract position, you will play a key role in transforming complex data into actionable insights that drive business decisions. This hybrid role requires a blend of technical expertise and analytical capabilities to support organizational goals effectively. Responsibilities: • Analyze complex datasets to uncover trends, insights, and opportunities for business improvement. • Develop and maintain dashboards, reports, and visualizations using tools such as Tableau and BusinessObjects. • Collaborate with cross-functional teams to understand reporting needs and ensure data integrity. • Utilize Python and SQL to automate data processes and streamline workflows. • Apply advanced analytics methods to support strategic initiatives and decision-making. • Monitor and optimize reporting systems to ensure accuracy and efficiency. • Translate technical findings into clear, actionable recommendations for stakeholders. • Provide support for data governance and adherence to organizational standards. • Stay updated on industry trends and emerging tools to enhance reporting capabilities.
2026-03-11T00:00:00Z

Data Reporting Analyst

Cincinnati, OH
onsite
Temporary
55 - 71 USD / Hourly
We are looking for a skilled Data Reporting Analyst to join our team in Cincinnati, Ohio. This long-term contract position offers an exciting opportunity to contribute to data-driven decision-making processes within the Personal Loans Marketing team. The ideal candidate will leverage their expertise in data analysis, reporting, and visualization to provide actionable insights and optimize marketing performance. Responsibilities: • Develop and maintain efficient data workflows to support marketing dashboards and reporting systems. • Document data sources, definitions, and reporting logic to ensure consistency and governance. • Optimize database queries and backend data processes to enhance scalability and performance. • Conduct quality assurance checks to maintain data integrity and accuracy across reports. • Automate recurring reports to monitor campaign metrics such as performance, conversions, and cost-per-acquisition. • Collaborate with engineering and data science teams to streamline data pipelines and improve data quality. • Design and implement interactive dashboards using tools like Tableau to visualize key performance indicators. • Provide ad hoc data analysis and reporting to support marketing campaign decision-making. • Ensure data models and workflows are scalable and align with business needs.
2026-03-11T00:00:00Z

Data Reporting Analyst

Chicago, IL
onsite
Contract / Temporary to Hire
31.6635 - 36.663 USD / Hourly
We are looking for a Data Reporting Analyst to join our team in Chicago, Illinois, on a contract with the possibility of transitioning to a permanent position. In this role, you will focus on developing and maintaining data reports, managing nightly database updates, and supporting a robust data warehouse environment. This position offers a remote-first work model with occasional in-office collaboration, providing flexibility in a casual work setting. Responsibilities: • Create, format, and manage detailed reports using tools such as Excel, SQL Server, and Python. • Query and navigate databases efficiently to extract and analyze data for reporting purposes. • Design and implement visual data presentations utilizing Google Sheets for web publishing. • Collaborate with team members to ensure the accuracy of data within the internal warehouse environment. • Troubleshoot and resolve data-related issues independently, ensuring uninterrupted workflow. • Enhance reporting processes by leveraging SSRS and Excel VBA for advanced functionality. • Utilize SQL and Python scripting to automate repetitive tasks and improve data operations. • Maintain a high level of data integrity and security across all reporting functions. • Support continuous improvement initiatives for data analytics and reporting. • Provide technical expertise in SQL Server and related database systems to optimize performance.
2026-03-10T00:00:00Z

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

Bossier City, LA
onsite
Permanent
80000 - 120000 USD / Yearly
We are looking for an experienced Database Developer to design, build, and maintain robust software systems tailored to meet organizational needs. This role involves contributing to all phases of the software lifecycle, from concept to deployment, while ensuring optimal functionality and performance. If you have a background in database development and a passion for creating efficient solutions, we encourage you to apply. Responsibilities: • Develop and maintain software systems using SQL, C#, and C++ to meet business requirements. • Collaborate with teams across departments to gather and clarify technical specifications. • Enhance existing applications by identifying performance issues and implementing improvements. • Translate user requirements into effective software solutions through detailed analysis and coding. • Contribute to all stages of the software development lifecycle, including design, testing, and documentation. • Communicate regularly with project managers to address operational challenges and ensure project success. • Recommend innovative improvements to software systems using diverse programming languages. • Work closely with team members to drive continuous development and optimization of products. • Apply knowledge of the health insurance industry to create tailored software solutions.
2026-02-11T00:00:00Z

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

Database Developer

Dublin, OH
onsite
Temporary
55 - 60 USD / Hourly
We are looking for a skilled Database Developer to join our team in Dublin, Ohio. In this long-term contract position, you will play a pivotal role in developing, configuring, and optimizing Varicent systems to support incentive models, reporting, and data workflows. This is an excellent opportunity for someone with strong attention to detail to contribute to cutting-edge compensation operations. Responsibilities: • Design, build, and test calculation logic and data stores for incentive models within Varicent systems. • Configure and maintain workflows, crediting rules, quotas, payout logic, and model updates to ensure seamless operation. • Develop and optimize Presenter Adaptive Reports to deliver dashboards, payout summaries, audit views, and analytics. • Implement and refine data validation routines and import processes to ensure accuracy and compliance. • Create dynamic and interactive reports to visualize metrics related to compensation plans, performance, and payouts. • Conduct regression testing, data validation, and audits to maintain model accuracy and reliability. • Troubleshoot discrepancies and anomalies in payouts, workflows, and other operational processes. • Utilize Varicent Web Admin tools to administer workflows, configure model settings, and support user interactions. • Stay up-to-date on Varicent updates, adopting new features and best practices to improve processes. • Identify opportunities for automation and optimization to enhance compensation operations.
2026-02-20T00:00:00Z

Data Engineer

Lithonia, GA
onsite
Permanent
95000 - 100000 USD / Yearly
We are looking for a skilled Data Engineer to join our logistics team in Lithonia, Georgia. In this role, you will design, construct, and maintain data pipelines and infrastructure to support analytics and operational systems. You will play a key role in enabling data visualization tools, optimizing data processes, and ensuring the accuracy and availability of critical information. Responsibilities: • Design and implement data pipelines to efficiently extract, transform, and load data from multiple sources. • Develop and maintain data models and storage solutions to support analytics and reporting needs. • Collaborate with stakeholders to troubleshoot data inconsistencies and resolve technical issues. • Utilize Tableau or Power BI to create meaningful data visualizations that drive business insights. • Write and optimize database procedures, triggers, and other SQL-based functionalities. • Manage and monitor databases to ensure their performance and reliability. • Provide technical guidance to analysts on best practices in data governance and performance optimization. • Participate in cross-functional projects to enhance data accessibility and quality across departments. • Explore and integrate Python-based solutions to enhance data engineering processes. • Assist in training and development related to data availability and analytics tools.
2026-02-17T00:00:00Z

Data Engineer

Savannah, GA
remote
Contract / Temporary to Hire
35.625 - 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.
2026-03-09T00:00:00Z

Data Engineer

Woodland Hills, CA
onsite
Permanent
140000 - 175000 USD / Yearly
Data Engineer (Hybrid, Los Angeles)Location: Los Angeles, CaliforniaCompensation: $140,000 - $175,000 per yearWork Environment: Hybrid, with onsite requirementsAre you passionate about crafting highly-scalable and performant data systems? Do you have expertise in Azure Databricks, Spark SQL, and real-time data pipelines? We are searching for a talented and motivated Data Engineer to join our team in Los Angeles. You'll work in a hybrid environment that combines onsite collaboration with the flexibility of remote work.Key Responsibilities:<ul><li>Design, develop, and implement data pipelines and ETL workflows using cutting-edge Azure technologies (e.g., Databricks, Synapse Analytics, Synapse Pipelines).</li><li>Manage and optimize big data processes, ensuring scalability, efficiency, and data accuracy.</li><li>Build and work with real-time data pipelines leveraging technologies such as Kafka, Event Hubs, and Spark Streaming.</li><li>Apply advanced skills in Python and Spark SQL to build data solutions for analytics and machine learning.</li><li>Collaborate with business analysts and stakeholders to implement impactful dashboards using Power BI.</li><li>Architect and support the seamless integration of diverse data sources into a central platform for analytics, reporting, and model serving via ML Flow.</li></ul>
2026-02-23T00:00:00Z

Data Engineer

Cincinnati, OH
remote
Temporary
71.25 - 82.5 USD / Hourly
We are looking for an experienced Data Engineer to join our team in Cincinnati, Ohio. This long-term contract position offers the opportunity to work on cutting-edge data engineering projects while collaborating with multidisciplinary teams to deliver high-quality solutions. The ideal candidate will have a strong background in Databricks and big data technologies, along with a passion for optimizing data processes and systems. Responsibilities: • Design, build, and enhance data pipelines using Databricks Runtime, Delta Lake, Autoloader, and Structured Streaming. • Implement secure and governed data access protocols utilizing Unity Catalog, workspace controls, and audit configurations. • Manage and integrate structured and unstructured data from diverse sources, including APIs and cloud storage. • Develop and maintain notebook-based workflows and manage jobs using Databricks Workflows and Jobs. • Apply best practices for performance tuning, scalability, and cost optimization in Databricks environments. • Collaborate with data scientists, analysts, and business stakeholders to deliver clean and reliable datasets. • Support continuous integration and deployment processes for Databricks jobs and system configurations. • Ensure high standards of data quality and security across all engineering tasks. • Troubleshoot and resolve issues to maintain operational efficiency in data pipelines.
2026-03-11T00:00:00Z

Data Engineer

Dallas, TX
onsite
Permanent
135000 - 160000 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.
2026-03-11T00:00:00Z

Data Engineer

Tampa, FL
onsite
Contract / Temporary to Hire
0 - 0 USD / Yearly
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.
2026-03-04T00:00:00Z

Data Engineer

Tampa, FL
onsite
Permanent
100000 - 115000 USD / Yearly
Robert half has a brand new opening for a Data Engineer with a reputable client here in Tampa.Full-time position, HYBRID schedule out of their Tampa office.Compensation ranging $100-115K depending on experience*Medical benefits are also 100% covered after onboarding period* Data Engineer (BI/ETL) focused on building and optimizing ETL/ELT pipelines, migrating/cleaning data between internal, vendor, and legacy systems, and improving data quality. SQL is absolutely required, and this role leans heavily into backend data movement — not dashboarding. Top Skills Looking For:<ul><li>Strong SQL (non negotiable)</li><li>Experience designing and maintaining ETL / ELT pipelines using frameworks such as Apache Airflow, DBT (Data Build Tool), or equivalent orchestration systems, with the ability to schedule, monitor, and recover complex multi-stage jobs.</li><li>Experience moving data across multiple systems</li></ul>Description:Build and maintain business intelligence solutions to include law enforcement, detention, human resources, finance, and integration of data from agency criminal justice partners.• Design and develop BI solutions.• Gather user requirements, develop technical and functional requirements, produce reporting solutions, and document the design and development process, metadata, and business rules.• Model, implement, and maintain databases and data marts to support BI reporting.• Develop extract, transform, load (ETL) to support the loading of data into data marts.• Monitor the data quality of existing databases and data marts and recommend governance and control around self-service BI/Analytics considering the evolution of the BI Industry’s best practices.• Perform other related duties as required.
2026-03-04T00:00:00Z

Data Engineer

Philadelphia, PA
remote
Temporary
0 - 0 USD / Yearly
We are looking for a skilled Data Engineer to join our team in Philadelphia, Pennsylvania. In this long-term contract position, you will play a key role in managing and optimizing large-scale data pipelines and systems within the healthcare industry. Your expertise will contribute to the development of robust solutions for data processing, analysis, and integration. Responsibilities: • Design, develop, and maintain large-scale data pipelines to support business needs. • Optimize data workflows using tools such as Apache Spark and Python. • Implement and manage ETL processes for seamless data transformation and integration. • Collaborate with cross-functional teams to ensure data solutions align with organizational goals. • Monitor and troubleshoot data systems to ensure consistent performance and reliability. • Work with Apache Hadoop and Apache Kafka to enhance data storage and streaming capabilities. • Ensure compliance with data security and privacy standards. • Analyze and interpret complex datasets to provide actionable insights. • Document processes and solutions to support future scalability and maintenance.
2026-02-12T00:00:00Z

Data Engineer

Fort Lauderdale, FL
onsite
Temporary
50 - 60 USD / Hourly
We are looking for a talented Data Engineer to join our team in Fort Lauderdale, Florida. This long-term contract position offers the opportunity to work on cutting-edge technologies and contribute to the development of efficient data pipelines and processes. The ideal candidate will have a strong background in data engineering and a passion for delivering high-quality solutions that drive business success. Responsibilities:• Design and implement scalable data pipelines using Snowflake, Python, and other relevant tools.• Collaborate with stakeholders to gather and refine data requirements, ensuring alignment with business needs.• Develop and maintain data models to support analytics, reporting, and operational processes.• Optimize data warehouse performance by tuning queries and managing resources effectively.• Ensure data quality through rigorous testing and governance protocols.• Implement security and compliance measures to protect sensitive data.• Research and integrate emerging technologies to enhance system capabilities.• Support ETL processes for data extraction, transformation, and loading.• Work with technologies such as Apache Spark, Hadoop, and Kafka to manage and process large datasets.• Provide technical guidance and support to team members and stakeholders.
2026-03-09T00:00:00Z

Data Engineer

Los Angeles, CA
onsite
Temporary
55.4135 - 64 USD / Hourly
**** For Faster response on the position, please send a message to Jimmy Escobar on LinkedIn or send an email to Jimmy.Escobar@roberthalf(.com) with your resume. You can also call my office number at 424-270-9193**** We are looking for a skilled Data Engineer to join our team on a long-term contract basis in Los Angeles, California. In this role, you will design, build, and maintain robust data infrastructure to support business operations and analytics. This position offers an opportunity to work with cutting-edge technologies and contribute to impactful projects. This position is a hybrid that is 3 days a week on-site and 2 days remote. Responsibilities:• Develop and implement scalable data pipelines using Apache Spark, Hadoop, and other big data technologies.• Collaborate with cross-functional teams to understand and translate business requirements into technical solutions.• Create and maintain ETL processes to ensure data integrity and accessibility.• Manage and monitor large-scale data processing systems, ensuring seamless operation.• Design and deploy solutions for real-time data streaming using Apache Kafka.• Perform advanced data analytics to support business decision-making.• Troubleshoot and resolve issues related to data infrastructure and applications.
2026-03-04T00:00:00Z

Data Engineer

Cincinnati, OH
remote
Temporary
48.45 - 56.1 USD / Hourly
We are looking for a skilled Data Engineer to join our team on a long-term contract basis. This position offers the opportunity to work remotely while contributing to critical data management and integration efforts. The ideal candidate will have hands-on experience with customer master data in ECC6, and the ability to create, maintain, and manage data effectively. Responsibilities: • Develop and maintain customer master data within ECC6, ensuring data accuracy and consistency. • Create new customer profiles and manage existing ones, maintaining high standards of data integrity. • Support the integration process by working with custom tables related to customer data. • Collaborate with cross-functional teams to ensure seamless data flow and effective data management. • Utilize tools such as Apache Spark, Python, and ETL processes to extract, transform, and load data efficiently. • Leverage Apache Hadoop for scalable data storage and processing solutions. • Implement Apache Kafka to enable real-time data streaming and integration. • Troubleshoot and resolve data-related issues, ensuring system reliability. • Provide documentation and training to stakeholders on data management processes. • Stay updated on industry best practices and emerging technologies to enhance data engineering workflows.
2026-03-11T00:00:00Z

Data Engineer

Wayne, PA
onsite
Contract / Temporary to Hire
71.25 - 82.5 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.
2026-03-10T00:00:00Z

Data Engineer

Miami, FL
onsite
Temporary
50 - 60 USD / Hourly
We are looking for a talented Data Engineer to join our team in Miami, Florida. This long-term contract position offers the opportunity to work on cutting-edge technologies and contribute to the development of efficient data pipelines and processes. The ideal candidate will have a strong background in data engineering and a passion for delivering high-quality solutions that drive business success. Responsibilities:• Design and implement scalable data pipelines using Snowflake, Python, and other relevant tools.• Collaborate with stakeholders to gather and refine data requirements, ensuring alignment with business needs.• Develop and maintain data models to support analytics, reporting, and operational processes.• Optimize data warehouse performance by tuning queries and managing resources effectively.• Ensure data quality through rigorous testing and governance protocols.• Implement security and compliance measures to protect sensitive data.• Research and integrate emerging technologies to enhance system capabilities.• Support ETL processes for data extraction, transformation, and loading.• Work with technologies such as Apache Spark, Hadoop, and Kafka to manage and process large datasets.• Provide technical guidance and support to team members and stakeholders.
2026-03-09T00:00:00Z

Data Engineer

Montvale, NJ
onsite
Permanent
125000 - 140000 USD / Yearly
We are seeking a highly skilled Data Engineer to design, build, and manage our data infrastructure. The ideal candidate is an expert in writing complex SQL queries, designing efficient database schemas, and developing ETL/ELT pipelines. This role ensures data accuracy, accessibility, and performance optimization to support business intelligence, analytics, and reporting initiatives. Key Responsibilities Database Design & Management<ul><li>Design, develop, and maintain relational databases, including SQL Server, PostgreSQL, and Oracle, as well as cloud-based data warehouses.</li></ul>Strategic SQL & Data Engineering<ul><li>Develop advanced, optimized SQL queries, stored procedures, and functions to process and analyze large, complex datasets and deliver actionable business insights.</li></ul>Data Pipeline Automation & Orchestration<ul><li>Build, automate, and orchestrate ETL/ELT workflows using SQL, Python, and cloud-native tools to integrate and transform data from diverse, distributed sources.</li></ul>Performance Optimization<ul><li>Tune SQL queries and optimize database schemas through indexing, partitioning, and normalization to improve data retrieval and processing performance.</li></ul>Data Integrity & Security<ul><li>Ensure data quality, consistency, and integrity across systems.</li><li>Implement data masking, encryption, and role-based access control (RBAC).</li></ul>Documentation<ul><li>Maintain comprehensive technical documentation, including database schemas, data dictionaries, and ETL workflows.</li></ul>
2026-02-06T00:00:00Z

Data Engineer

Grand Rapids, MI
onsite
Permanent
110000 - 140000 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.
2026-03-03T00:00:00Z

Data Engineer

Washington, DC
onsite
Temporary
55 - 65 USD / Hourly
I’m building a world-class team to power our next generation of data products. We’re looking for a Senior Data Engineer who knows AWS inside and out—someone who can design secure, scalable data pipelines, own ETL/ELT workflows, engineer cloud data infrastructure, and deliver dimensional and semantic models that our analysts, data scientists, and applications can trust.You’ll work closely with product, security, platform engineering, and analytics to move our architecture toward a real-time, governed, cost-aware, and highly automated data ecosystem.What You’ll Do<ul><li>Design & build end-to-end pipelines on AWS (batch and streaming) using services like Glue, EMR, Lambda, Step Functions, Kinesis, MSK, and Fargate.</li><li>Develop robust ETL/ELT (PySpark, Spark SQL, SQL, Python) for structured, semi-structured, and unstructured data at scale.</li><li>Own data storage & processing layers: S3 (Lake/Lakehouse), Redshift (or Snowflake on AWS), DynamoDB, and Athena with strong partitioning, compaction, and performance tuning.</li><li>Implement data models (3NF, dimensional/star, Data Vault, Lakehouse medallion) for analytics and operational workloads.</li><li>Engineer secure infrastructure-as-code with Terraform (or CDK) across multi-account setups; implement CI/CD via GitHub Actions or AWS CodeBuild/CodePipeline.</li><li>Harden security & governance: use IAM, Lake Formation, KMS, Secrets Manager, VPC/PrivateLink, GLUE Catalog, and fine-grained access controls. Partner with SecOps on compliance (e.g., SOC 2, FedRAMP, HIPAA depending on dataset).</li><li>Observability & reliability: build monitoring with CloudWatch, OpenTelemetry, and data quality checks (e.g., Great Expectations, Deequ), implement SLOs and alerts.</li><li>Champion best practices: code reviews, testing (unit/integration), documentation, runbooks, and blameless postmortems.</li><li>Mentor mid-level engineers and collaborate on architectural decisions, standards, and technical roadmaps.</li></ul>
2026-03-10T00:00:00Z

Data Engineer

New York, NY
remote
Permanent
147000 - 172000 USD / Yearly
We are looking for an experienced Data Engineer to join our team in New York, New York. In this role, you will design, build, and maintain data infrastructure to support business intelligence and analytics needs. The ideal candidate will have a strong technical background, a passion for working with complex datasets, and expertise in cloud-based data platforms. Responsibilities: • Develop, implement, and optimize ETL pipelines to ensure efficient data processing and integration. • Design and maintain scalable data solutions, including data warehouses and data lakes. • Collaborate with cross-functional teams to identify data requirements and deliver actionable insights. • Utilize Snowflake, AWS, and other cloud-based platforms to manage data infrastructure and ensure performance optimization. • Leverage Python and SQL to build robust data workflows and automate processes. • Employ orchestration tools like Airflow and dbt to streamline data operations. • Support data analytics and visualization efforts by enabling the creation of impactful dashboards using tools such as Tableau. • Work with marketing and product data sources, including platforms like Google Analytics, to extract and integrate valuable insights. • Implement CI/CD pipelines and DevOps practices to enhance data engineering processes. • Ensure data security and compliance across all systems and tools.
2026-03-05T00:00:00Z

Data Engineer

Saginaw, MI
remote
Permanent
140000 - 150000 USD / Yearly
The Senior Data Engineer plays a key role in architecting, developing, and operating reliable, production-ready data solutions that enable analytics, automation, and operational processes across our client’s organization. Operating within a modern, cloud-based data ecosystem, this role is responsible for bringing together data from internal platforms and external partners, transforming it into trusted, high-quality assets, and delivering it consistently to downstream users and systems. The work spans the full data lifecycle—ingestion, orchestration, transformation, and delivery—and blends advanced SQL development with Python-based pipeline and workflow automation. This role sits at the intersection of data and systems engineering and works closely with Business Intelligence, Business Technology, and operational teams to ensure data solutions are scalable, dependable, and aligned with real business outcomes.
2026-03-06T00:00:00Z

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