Data Engineer with OBIEE and Snowflake- Can sit in Durham NC or Westlake TX (2 weeks a month) Manager wants OBIEE and snowflake in recent projects Must haves: <ul> <li>6-9 years' experience SQL, Python, and OBIEE.</li> <li>Snowflake, Redshift, BigQuery, Synapse, Databricks, etc.,</li> <li>AWS or Azure. </li></ul> Senior Data Engineer The Role As a Senior Data Engineer supporting Workplace Investing (WI) - Healthcare Group (HCG), you are deeply entrenched in building data infrastructure, with a passion for using tools and frameworks to guide the development of stable, robust, and resilient data environments that best serve our business. In an Agile structure you work closely with the Product Owner, Data Analysts, Data Modelers, and other Data Engineers assigned to squads across product areas to build scalable, flexible, and detailed data solutions that will improve the WI-HCG product offerings and speed time to market. You help to drive conformance to the WI-HCG data strategy and Enterprise Data Taxonomy. You collaborate with other Data Engineers to establish and continually revisit standards for your IT Chapter. You influence strategic designs and build solutions to help scale our business. You are committed to staying hands-on, developing your own expertise and knowledge to bring the latest thinking to your role and to empower others with that knowledge. The Expertise and Skills You Bring ? B.S. degree in math, statistics, computer science, or equivalent technical field. ? 6+ years of experience in designing and delivering data lake, data warehouses and reporting platforms. ? Strong database knowledge and proven experience with data analysis as well as working familiarity with a variety of databases. ? Strong analytic skills related to working with unstructured datasets. ? Fluent in SQL, Python, and at least one analytic tool such as OBIEE, Power BI, or Tableau is required. ? Solid experience with cloud data warehouse platforms such as Snowflake, Redshift, BigQuery, Synapse, Databricks, etc. ? Solid experience with Data warehousing, Extract, Transform & Load development is required. ? Data Modeling skills and experience with relational and dimension models is required. ? Experience with Cloud technologies such as AWS or Azure. ? Experience in DevSecOps standard and tools like Jenkins Core and GitHub. ? Experience with API architecture design and development. ? Solid experience working in a reciprocal, team-based environment with a constant focus on learning, mentoring, and encouraging others. ? Proven understanding of computer science fundamentals, data structures, and algorithms to ensure alignment to data engineering methodologies. ? Experience building data pipelines and architectures and optimizing data sets. ? Experience of manipulating, processing, and extracting value from multiple large datasets. ? Proven understanding of modern data engineering principles. ? Effective communication and influencing skills to integrate into an inclusive culture. ? Enthusiastic desire to learn new skills and emerging technologies/industry trends quickly. ? Experience working with healthcare benefit or financial data is a plus. The Value You Deliver ? Collaborating with architecture, security, and risk to build architecturally compliant healthcare analytics platform solutions and implementation. ? Partnering with platform squads to define data engineering standards, standard methodologies, and tooling. ? Creating data tools for analytics and data scientist teams in building and optimizing healthcare product and service offerings. ? Providing engineering thought leadership to advance healthcare benefits and management outcomes and facilitate a cloud-first approach. ? Collaborating with other team members and stakeholders to analyze and tackle problems. ? Staying ahead of the curve by aligning data engineering strategy, architecture, and security with chapters and COEs. The Team Our team builds outstanding experiences for Fidelity Health Care customers. We focus on crafting rich and compelling experiences using the best application design guidelines by way of robust tooling to provide healthcare benefits and management. We work in a collaborative, fast paced environment, and are committed to advancing a digital strategy to the delight of our customers.

About FlexGen Based in Durham, N.C., FlexGen is a leading integration services and software technology provider for energy storage solutions in the United States and globally. FlexGen designs and integrates storage solutions and the software platform that enables today's energy transition. Leveraging its best-in-class energy management software and power electronics, FlexGen delivers utility-scale storage projects integrated with traditional and renewable power generation globally. The Company's clients and partners include the most technically and commercially demanding developers, utilities, government agencies, and industrial companies in the world. Energy storage represents a multibillion-dollar market at the center of the energy transition. The integration of energy storage requires software and technological solutions that play a critical role in the adoption of renewables at scale-offsetting the intermittent and reliability challenges that renewable power generation creates for the grid. Since its founding in 2009, FlexGen has supported deployments of more than 1.2 GWh of energy storage systems across the U.S. and internationally for utility, microgrid, and C&I customers. The Company's proprietary software platform allows energy storage owners to deploy various power market strategies and combine storage solutions with any form of generation. FlexGen is dedicated to providing best-in-class service and performance for its customers, ensuring safety, reliability, and resiliency in all operating environments. FlexGen supports the customer across the full journey of developing an energy storage project and leverages decades of engineering and software expertise to maximize the value that its customers ultimately receive. The company's HybridOS solutions include six distinct energy management solution applications: DigitalTwin, FlexPack, SiteController, FleetManager, PowerCloud, and FlexBidr. Position Description FlexGen makes software that makes a difference in the world. With HybridOS our customers can put more battery storage on to the grid quicker and easier and then keep it running effectively. Traditional energy management systems are often custom developed from the ground up each time a customer builds a project. FlexGen applies modern technologies and product development principles to deliver software that gets the job done, is easy to learn and a joy to use. We are looking for an experienced Data Engineer to architect, implement, and maintain our diverse data infrastructure. The ideal candidate will have a strong background in cloud services and experience working with large-scale data processing systems. You will be responsible for designing and implementing data pipelines, ensuring data quality, and optimizing data processing performance. You will work closely with our data science and web development teams to deliver valuable insights and be a crucial part of our data-driven strategy. Major Job Responsibilities: <ul><li>Architect, troubleshoot, and maintain a scalable, reliable, and cost-effective data infrastructure designed to move large timeseries datasets in near-real time for various end uses </li><li>Ensure data quality and integrity through continuous data validation, monitoring, and anomaly detection </li><li>Optimize data processing performance by leveraging best practices, such as data partitioning, compression, and caching </li><li>Develop and maintain data catalog and schema management systems to facilitate data discovery and governance </li><li>Collaborate with the team to establish proper software development lifecycle (SDLC) processes, including version control, code reviews, and continuous integration </li><li>Mentor and provide guidance to junior team members, fostering a culture of collaboration and continuous learning </li><li>The technologies you may use for this role include:</li><li><ul><li>On-premises databases: InfluxDB, PostgreSQL </li><li>Data formats: Parquet </li><li>Message brokers: MQTT </li><li>AWS services: Lambda, Glue, Timestream, RDS, Data Lake </li><li>Experienced in one or more of the following languages: SQL, Python, Go, Rust </li><li>ETL/ELT processes </li><li>Data modeling and warehousing concepts </li></ul></li></ul> Position Requirements: <ul><li>Bachelor's or Master's degree in Computer Science, Engineering, or a related field </li><li>5+ years of experience in data engineering, preferably in a cloud-based environment (AWS experience preferred) </li><li>Strong understanding of data modeling, data warehousing, and ETL concepts </li><li>Experience with streaming and/or timeseries data </li><li>Expertise in designing and implementing efficient data models</li></ul> FlexGen provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, FlexGen complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. FlexGen expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. To the extent permitted by law, employees are subject to periodic random drug testing, and post-accident and reasonable suspicion drug and alcohol testing.

Job Description: N/A Certifications: Category: Information Technology Fidelity's hybrid working model blends the best of both onsite and offsite work experiences. Working onsite is important for our business strategy and our culture. We also value the benefits that working offsite offers associates. Most hybrid roles require associates to work onsite every other week (all business days, M-F) in a Fidelity office.

Based in Durham, N.C., FlexGen is a leading integration services and software technology provider for utility-scale energy storage solutions in the United States and globally. FlexGen designs and integrates storage solutions and the software platform that is enabling today’s energy transition. Leveraging its best-in-class energy management software, digital controls, and advanced analytics, FlexGen delivers energy storage projects integrated with traditional and renewable power generation globally. FlexGen’s products and services help improve the reliability and sustainability of the power grid. The company’s clients and partners include the most technically and commercially demanding developers, utilities, renewable energy, electric cooperatives, and industrial companies in the world.Position DescriptionFlexGen makes software that makes a difference in the world. With HybridOS our customers can put more battery storage on to the grid quicker and easier and then keep it running effectively. Traditional energy management systems are often custom developed from the ground up each time a customer builds a project. FlexGen applies modern technologies and product development principles to deliver software that gets the job done, is easy to learn and a joy to use.We are looking for an experienced Data Engineer to architect, implement, and maintain our diverse data infrastructure. The ideal candidate will have a strong background in cloud services and experience working with large-scale data processing systems. You will be responsible for designing and implementing data pipelines, ensuring data quality, and optimizing data processing performance. You will work closely with our data science and web development teams to deliver valuable insights and be a crucial part of our data-driven strategy.Major Job Responsibilities:<ul><li>Architect, troubleshoot, and maintain a scalable, reliable, and cost-effective data infrastructure designed to move large timeseries datasets in near-real time for various end uses.</li><li>Ensure data quality and integrity through continuous data validation, monitoring, and anomaly detection.</li><li>Optimize data processing performance by leveraging best practices, such as data partitioning, compression, and caching.</li><li>Develop and maintain data catalog and schema management systems to facilitate data discovery and governance.</li><li>Collaborate with the team to establish proper software development lifecycle (SDLC) processes, including version control, code reviews, and continuous integration.</li><li>Mentor and provide guidance to junior team members, fostering a culture of collaboration and continuous learning.</li><li>The technologies you may use for this role include:</li><ul><li>On-premises databases: InfluxDB, PostgreSQL.</li><li>Data formats: Parquet.</li><li>Message brokers: MQTT.</li><li>AWS services: Lambda, Glue, Timestream, RDS, Data Lake.</li><li>Experienced in one or more of the following languages: SQL, Python, Go, Rust.</li><li>ETL/ELT processes.</li><li>Data modeling and warehousing concepts.</li></ul></ul>Position Requirements:<ul><li>Bachelor's or Master's degree in Computer Science, Engineering, or a related field.</li><li>5+ years of experience in data engineering, preferably in a cloud-based environment (AWS experience preferred).</li><li>Strong understanding of data modeling, data warehousing, and ETL concepts.</li><li>Experience with streaming and/or timeseries data.</li><li>Expertise in designing and implementing efficient data models.</li></ul>
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*Must be legally authorized to work in the US without the need for visa sponsorship now or in the future*Key Accountabilities:<ul><li>Using Microsoft Azure data PaaS services, design, build, modify, and support data pipelines leveraging DataBricks and PowerBI in a medallion architecture setting</li><li>If necessary, create prototypes to validate proposed ideas and solicit input from stakeholders</li><li>Grasp of and expertise with test-driven development and continuous integration processes</li><li>Analysis and Design - Converts high-level design to low-level design and implements it</li><li>Collaborate with Team Leads to define/clarify business requirements, estimate development costs, and finalize work plans</li><li>Run unit and integration tests on all created code - Create and run unit and integration tests throughout the development lifecycle</li><li>Benchmark application code proactively to prevent performance and scalability concerns</li><li>Collaborate with the Quality Assurance Team on issue reporting, resolution, and change management</li><li>Support and Troubleshooting - Assist the Operations Team with any environmental issues that arise during application deployment in the Development, QA, Staging, and Production environments</li><li>Assist other teams in resolving issues that may develop as a result of applications or the integration of multiple components</li></ul>Knowledge and Experience:<ul><li>Understanding of design concepts and architectural basics</li><li>Knowledge of performance engineering</li><li>Understanding of quality processes and estimate methods</li><li>Fundamental grasp of the project domain</li><li>The ability to transform functional and nonfunctional needs into system requirements.</li><li>The ability to develop and code complicated applications is required.</li><li>The ability to create test cases and scenarios based on specifications.</li><li>Solid knowledge of SDLC and agile techniques</li><li>Knowledge of current technology and trends</li><li>Logical thinking and problem-solving abilities, as well as the capacity to collaborate</li><li>Primary skills: Cloud Platform, Azure, Databricks, ADF, ADO</li><li>Sought: SQL, Python, PowerBI</li><li>General Knowledge: PowerApps, Java</li><li>Some hands-on software development experience through internships with exposure to cloud computing required</li><li>1-2 years of experience in software development with a minimum of 2 years of cloud computing preferred</li></ul>Education:<ul><li>Bachelor of Science in Computer Science, Engineering, Statistics or related technical field</li></ul>
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<div>About the Role:Our Business Intelligence team is looking for a BI Data Engineer who is passionate about data, analytics, and business strategy. You will help the team learn more about our business, teach others in the company about analytics, and improve the use of our data. You’ll be an integral part of providing data-driven insights that inform significant company decisions.Responsibilities:<ul><li>Build data pipelines and python-based ETL tools for getting, processing, and delivering data.</li><li>Develop and optimize data models/schemas in our data warehouse that enable performant, intuitive analysis.</li><li>Generate end to end reporting solutions (from data ingestion to dashboards).</li><li>Work with business leaders to define key metrics and reporting requirements.</li><li>Conduct in-depth data analyses that improve infrastructure and product performance.</li><li>Become an expert on all aspects of Credible’s data and analytics infrastructure.</li><li>Be the driving force behind the adoption and effective use of our BI tool within every team at Credible.</li></ul>Education and Experience:<ul><li>BA/BS in a quantitative field.</li><li>3-5+ years of work experience as a data engineer, or in a highly analytical role.</li><li>Experience writing SQL queries and using a BI tool.</li><li>Experience with programmatic scripting using Python to develop ETL pipelines and tooling.</li><li>Experience using the command line and git.</li><li>Strong grasp of statistics and experience conducting rigorous data analyses.</li><li>Experience developing models and visualizations in Looker a plus.</li><li>Experience at an e-commerce or fintech company is a plus.</li></ul>Nice to Have:<ul><li>The capacity to juggle multiple priorities effectively within a fast-paced environment is critical.</li><li>You’re a highly motivated self-starter with the ability to work efficiently with minimal supervision.</li><li>Anticipate business needs and think with a business owner mindset – think critically about analyses, don’t just complete them.</li><li>Passion for spreading the value of data throughout the company and communicating insights to a broad audience with varying levels of technical expertise.</li></ul></div>
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<div id="sajCpTopImage"></div><div id="sajCpCustomDescription">*Must be legally authorized to work in the US without the need for visa sponsorship now or in the future* Key Accountabilities:<ul><li>Using Microsoft Azure data PaaS services, design, build, modify, and support data pipelines leveraging DataBricks and PowerBI in a medallion architecture setting</li><li>If necessary, create prototypes to validate proposed ideas and solicit input from stakeholders</li><li>Grasp of and expertise with test-driven development and continuous integration processes</li><li>Analysis and Design - Converts high-level design to low-level design and implements it</li><li>Collaborate with Team Leads to define/clarify business requirements, estimate development costs, and finalize work plans</li><li>Run unit and integration tests on all created code - Create and run unit and integration tests throughout the development lifecycle</li><li>Benchmark application code proactively to prevent performance and scalability concerns</li><li>Collaborate with the Quality Assurance Team on issue reporting, resolution, and change management</li><li>Support and Troubleshooting - Assist the Operations Team with any environmental issues that arise during application deployment in the Development, QA, Staging, and Production environments</li><li>Assist other teams in resolving issues that may develop as a result of applications or the integration of multiple components</li></ul>Knowledge and Experience:<ul><li>Understanding of design concepts and architectural basics</li><li>Knowledge of performance engineering</li><li>Understanding of quality processes and estimate methods</li><li>Fundamental grasp of the project domain</li><li>The ability to transform functional and nonfunctional needs into system requirements.</li><li>The ability to develop and code complicated applications is required.</li><li>The ability to create test cases and scenarios based on specifications.</li><li>Solid knowledge of SDLC and agile techniques</li><li>Knowledge of current technology and trends</li><li>Logical thinking and problem-solving abilities, as well as the capacity to collaborate</li><li>Primary skills: Cloud Platform, Azure, Databricks, ADF, ADO</li><li>Sought: SQL, Python, PowerBI</li><li>General Knowledge: PowerApps, Java</li><li>Some hands-on software development experience through internships with exposure to cloud computing required</li><li>1-2 years of experience in software development with minimum 2 years of cloud computing preferredEducation:<ul><li>Bachelor of Science in Computer Science, Engineering, Statistics or related technical field</li></ul></li></ul></div><div id="sajCpQualifications"><div id="sajCpQualificationsRequired"><h3 class="jobOverviewSubtitle">Required</h3><ul></ul></div><div id="sajCpQualificationsPreferred"><h3 class="jobOverviewSubtitle">Preferred</h3><ul></ul></div></div><div id="sajCpIndustries"><h3 class="jobOverviewSubtitle">Job Industries</h3><ul><li><a id="sajCpSingleIndustryLink" href="https://www.snagajob.com//job-search/q-Other">Other</a></li></ul></div>

Senior Data Engineer

Durham, NC -Hybrid -

Experience with Oracle database

Strong hands-on Experience with PL/SQL

Strong hands-on Experience with SQL

Experience with data conversion and migrations

Experience with data analysis and cleansing

Experience with DB2 database

Hands on experience in coding, testing and maintaining ETL processes

Experience with source code repository like Git, BitBucket, SVN

Experience with Talend

Experience with Java

Experience with cloud platforms (e.g. AWS and Azure) and associated services for data processing and storage

Understanding and experience with Child welfare application system.

Clorox is the place that’s committed to growth – for our people and our brands. Guided by our purpose and values, and with people at the center of everything we do, we believe every one of us can make a positive impact on consumers, communities, and teammates. Join our team. <a>#CloroxIsThePlace</a> Your role at Clorox: At Clorox, we’re revolutionizing the consumer product goods industry with cutting-edge technology and innovative solutions with data at the center of it all. We believe in harnessing the power of data to drive meaningful change and deliver exceptional results. Join our dynamic enterprise data team and be at the forefront of the data engineering revolution to build data as a product and use data as a competitive advantage. Are you passionate about building the next generation of data solutions? We are looking for an experienced and highly skilled senior data engineer who thrives on solving complex problems and loves working with the latest cloud technologies. If you ‘re eager to shape the future of data in a fast-paced, tech-forward environment, we want to hear from you! In this role, you will: As a Senior Data Engineer at Clorox, you will lead exciting projects, design, build and maintain scalable data solution architectures and make a real impact on our data strategy. In this role, you will leverage our cutting-edge technology, your strong background in business intelligence and engineering in cloud platforms to build futuristic data products that create value across the organization. You will also serve as a key collaborator with our business analytics and enterprise technology stakeholders to innovate, build and sustain the cloud data infrastructure that will further Clorox’s data strategy. Architect & Innovate: <ul><li>Use tools like Azure Data Factory, Databricks, Python, Spark, and other tools to build cutting-edge data pipelines, data models, semantic modeling layers and dynamic data solutions.</li><li>Develop high-quality code to process and move the vast amount of data and integrate systems across diverse platforms.</li><li>Develop, sustain, implement data improvements and optimization techniques to enhance the data products.</li><li>Continuously evaluate and adopt new technologies and tools to enhance data engineering capabilities and efficiency. </li></ul> Optimize and Scale: <ul><li>Build and maintain data pipelines to integrate data from various source systems.</li><li>Optimize data pipelines for performance, reliability and cost-effectiveness</li><li>Work with enterprise infrastructure and technology teams to implement best practices for performance monitoring, cloud resource management, including scaling, cost control and security.</li></ul> Ensure Quality and Governance: <ul><li>Ensure safe custody, transport and storage of data in the data platforms.</li><li>Collaborate with Data Governance Stewards and Business Stakeholders to enforce the business rules, data quality rules and data cataloging activities.</li><li>Ensure data quality, security and compliance for the data products responsible under this role.</li></ul> Enhance BI Capabilities: <ul><li>Developing and managing business intelligence solutions for the organization to transform data into insights that can drive business value.</li><li>Provide technical guidance to Analytics Product Owners, Business Leaders improve business decisions through data analytics, data visualization, and data modeling techniques and technologies.</li></ul> Collaborate and Lead: <ul><li>Work closely with analytics product owners, data scientists, analysts and business users to understand data needs and provide technical solutions.</li><li>Provide technical guidance to junior engineers and BI teams to use data efficiently and effectively.</li></ul> What we look for:<ul><li>7+ years of experience with data engineering, data warehousing, business intelligence with substantial experience in managing large-scale data projects</li><li>5+ years’ experience with data solutions implementations in Cloud platform technologies like Microsoft Azure, AWS etc.</li><li>4+ years with business intelligence using technologies like PowerBI, Tableau etc.</li><li>4+ years of experience with Azure services like Data Factory, Databricks, and Delta Lake will be an added advantage.</li><li>Bachelor’s Degree or higher in Computer Science, Information Systems or relevant streams</li></ul> Skills <ul><li>Strong knowledge in Cloud service like Microsoft Azure and associated data services like such as Data Factory, Databricks, Delta Lake, Synapse, SQL DB etc.</li><li>End-to-end knowledge in data engineering solutions (Data Pipelines), including designing, developing, deploying, and supporting solutions for existing platforms</li><li>Ability to design and implement scalable and performant data pipelines and architecture. Deep understanding of data modeling, data access, and data storage techniques.</li><li>Strong proficiency in Python(required), Spark, Pandas, and CI/CD methodologies.</li><li>Strong BI skills to build reports & dashboards using Power BI and Tableau etc.</li><li>Strong in design, building complex reports, dashboards, performance tuning etc.</li><li>Strong in reporting security like row level, column level, object level and masking etc.</li><li>Strong with SQL and DML to recast data in backend database for data changes, restatements and data processing errors, etc.</li><li>Knowledge or experience in D365 Dataverse and reporting will be an added advantage.</li></ul> Abilities<ul><li>Take initiative and ownership with end-to-end thinking that can deliver impact and lasting change.</li><li>Result driven with keen sense to manage complexity and situational adaptability that matches the shifting demands of different situations.</li><li>Strong problem-solving skills with an emphasis on product development. Ability to translate business requirements into non-technical terms and back into technical implementations.</li><li>Foster growth culture by investing in their teammates to be at their best and drive engagement to achieve the organizational objectives</li></ul> Workplace type:Hybrid - 3 Days Onsite, 2 Days WFH We seek out and celebrate diverse backgrounds and experiences. We’re looking for fresh perspectives, a desire to bring your best, and a non-stop drive to keep growing and learning. At Clorox, we have a Culture of Inclusion. We believe our values-based culture connects to our purpose and helps our people be the best versions of themselves, professionally and personally. This means building a workplace where every person can feel respected, valued, and fully able to participate in our Clorox community. Learn more about our I&D program & initiatives <a>here</a>. [U.S.]Additional Information:At Clorox, we champion people to be well and thrive, starting with our own people. To help make this possible, we offer comprehensive, competitive benefits that prioritize all aspects of wellbeing and provide flexibility for our teammates’ unique needs. This includes robust health plans, a market-leading 401(k) program with a company match, flexible time off benefits (including half-day summer Fridays depending on location), inclusive fertility/adoption benefits, and more. We are committed to fair and equitable pay and are transparent with current and future teammates about our full salary ranges. We use broad salary ranges that reflect the competitive market for similar jobs, provide sufficient opportunity for growth as you gain experience and expand responsibilities, while also allowing for differentiation based on performance. Based on the breadth of our ranges, most new hires will start at Clorox in the first half of the applicable range. Your starting pay will depend on job-related factors, including relevant skills, knowledge, experience and location. The applicable salary range for every role in the U.S. is based on your work location and is aligned to one of three zones according to the cost of labor in your area. –Zone A: $121,900 - $240,100–Zone B: $111,700 - $220,100–Zone C: $101,600 - $200,100 All ranges are subject to change in the future. Your recruiter can share more about the specific salary range for your location during the hiring process. This job is also eligible for participation in Clorox’s incentive plans, subject to the terms of the applicable plan documents and policies. To all recruitment agencies: Clorox (and its brand families) does not accept agency resumes. Please do not forward resumes to Clorox employees, including any members of our leadership team. Clorox is not responsible for any fees related to unsolicited resumes.

Data Engineer Jobs in Durham, NC

Data Engineer
December 19, 2024

Lead Data Engineer
December 19, 2024

2025 Undergraduates Leap Data Engineer
December 14, 2024

Lead Data Engineer
December 11, 2024

Associate Data Engineer
December 10, 2024

Bi Data Engineer
December 8, 2024

Associate Data Engineer
December 5, 2024

Senior Data Engineer
December 1, 2024

Senior Data Engineer
November 24, 2024

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Data Engineer Jobs in Durham, NC

Data EngineerDecember 19, 2024

Lead Data EngineerDecember 19, 2024

2025 Undergraduates Leap Data EngineerDecember 14, 2024

Lead Data EngineerDecember 11, 2024

Associate Data EngineerDecember 10, 2024

Bi Data EngineerDecember 8, 2024

Associate Data EngineerDecember 5, 2024

Senior Data EngineerDecember 1, 2024

Senior Data EngineerNovember 24, 2024