Job Title: Data Engineer Location: Charlotte, NC Our client is seeking a senior data engineer to join a team of data engineers on the Marketing Intelligence Team. We have an exciting opportunity to develop and scale our home-grown data platform that powers Marketing Technology platforms. This professional will exhibit a fervent enthusiasm for data engineering and the implementation of data pipelines. They will possess a strategic mindset, collaborating with cross functional teams to successfully execute enterprise initiatives. Key Responsibilities: <ul> <li> Deliver high quality, innovative data integration solutions in a fast-paced environment. </li><li> Create real-time streaming data pipelines for multiple sources and data types. </li><li> Develop, and support Marketing Operations data integrations spanning multiple AdTech partners and the clients lines of Business. </li><li> Engage in seamless collaboration with Engineers, Data Architects, and Data Product Owners to execute project tasks efficiently. </li><li> Develop and manage technical documentation to ensure clarity and accessibility. </li><li> Participate in the on-call rotation to provide support during off-hours. </li></ul> Must have Requirements: <ul> <li> 5+ years of experience in implementing data services using AWS, Azure, or Google Cloud Services </li><li> Strong Experience with Messaging and event Streaming technologies like Kafka, AWS Kinesis, AWS SQS and SNS etc. </li><li> Strong Experience with Cloud Based Data Warehousing & Analytics Platform like Snowflake, Databricks, Amazon Redshift etc. </li><li> Proficient in data transformation and orchestration tools like dbt, Apache Airflow. </li><li> Ability to design, implement & support data integration projects with minimal oversight. </li><li> Experience in building and supporting serverless architecture. </li><li> Excellent verbal and written communication skills </li><li> Expertise in at least 1 programming language (python, Java, Scala etc.) </li></ul> Additional Experience Preferred: <ul> <li> B.S. Computer Science or equivalent. </li><li> Experience with RESTful API's, AWS Lambdas, Python Libraries etc. </li><li> Familiarity with Marketing Technology platforms and processes are a plus </li></ul> Benefits & Compensation: <ul> <li> We offer all of the regular perks (i.e. medical, dental, vision, 401(k) matching, etc.), plus a few unique ones including "unlimited" time off, annual bonuses, company stock, etc.) </li><li> Dress code - we don't have one. (Flip flops, shorts, jeans... whatever.) </li><li> Work for an established brand in a start-up environment </li></ul> COMPANY One of the nation's largest online lending marketplace. That means we connect customers with multiple lenders, so they find the best deals on loans, credit cards, savings accounts and insurance. Our goal is to help people save money, and we believe the best way to do that is by giving them a way to shop for loans and compare lenders, so they make their best financial choices. What else you should know: <ul> <li> We're a publicly-traded company. </li><li> We've welcomed several other companies into the LendingTree family to augment our efforts at helping borrowers make their most sensible financial choices. </li><li> We've built the app and the dashboard to give consumers tools to manage and monitor their financial health. </li></ul> CULTURE We are a fast-paced company with an entrepreneurial outlook. We strive to be collaborative, ambitious, candid, and high-energy. We work hard and test our products often. We're collaborative, ambitious, candid, and high-energy. We believe in rewarding innovation, creativity and value the knack for just getting stuff done(weeven have an award for employees called the GSD,"GetStuff Done"). Come work with us! However, base pay offered may vary depending on job-related knowledge, skills, and experience. Incentive Compensation: Variable compensation, annual bonus Benefits: Medical, dental, vision insurance and 401(k) matching

Data Engineer | Initial 6 Month Contract (Inside IR35) | Remote (Occasional travel to Reading) Experis have partnered with a well-recognised client in the South East looking to recruit a Data Engineer on a contract basis. You will be responsible for designing, developing, and managing data pipelines that support our data-driven initiatives. You will work closely with cross-functional teams to ensure that data is efficiently processed, stored, and made available for analysis. Your expertise in Azure Data Factory and Azure DevOps will be essential in automation and optimizing our client’s data workflows. Candidates must hold active SC Clearance or be eligible to obtain SC Clearance. Key Responsibilities:<ul><li>Design, develop, and maintain scalable data pipelines using Azure Data Factory to ingest, transform, and load data from various sources.</li><li>Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and implement solutions that meet business needs.</li><li>Implement and manage CI/CD pipelines for data engineering projects using Azure DevOps, ensuring smooth deployment and operations.</li><li>Monitor, troubleshoot, and optimize data pipelines to ensure data accuracy, reliability, and performance.</li><li>Automate data processing tasks to reduce manual effort and improve efficiency across data workflows.</li><li>Ensure data security and compliance with industry standards and regulations throughout the data pipeline lifecycle.</li><li>Document data engineering processes, including pipeline architecture, data flows, and best practices.</li></ul> Key Experience Required:<ul><li>Proficiency in using Azure Data Factory for building and managing data pipelines, including experience with data ingestion, transformation, and loading processes.</li><li>Hands-on experience with Azure DevOps for implementing CI/CD pipelines, version control, and automation in data engineering projects.</li><li>Strong understanding of data engineering concepts, including ETL/ELT processes, data modelling, and data warehousing.</li><li>Experience with scripting languages such as Python, PowerShell, or similar for automation tasks.</li><li>Excellent analytical and problem-solving skills, with the ability to troubleshoot and optimize data pipelines.</li><li>Strong communication skills and the ability to work effectively with cross-functional teams in a collaborative environment.</li><li>Experience with other Azure services such as Azure Synapse Analytics, Azure Databricks, or Azure SQL Database.</li><li>Knowledge of data governance and data quality management practices.</li><li>Familiarity wit big data technologies and frameworks.</li></ul>

Azure Data Engineer (Contract Position) Job Title: Azure Data Engineer Duration: 18 months Location: Vancouver, BC - Candidate must be eligible to work in Canada without requiring sponsorship. Candidate Location Requirements: Vancouver, BC, Canada. Onsite Work (if hybrid): 3 days per week Responsibilities: As a Data Engineer, you will collaborate closely with studio business leaders, data scientists, analysts, designers, and producers. Your primary focus will be building out the data infrastructure to support critical insights about players. Here are your typical day-to-day responsibilities: <ul> <li> Deliver high-quality, well-tested, secure, and maintainable code. <li> Design, develop, optimize, and maintain data pipelines and back-end services for reporting, optimization, data collection, and related functions. <li> Create and manage automated unit and integration test suites to ensure data accuracy and completeness. <li> Experiment with and recommend new technologies to enhance the tech stack. <li> Design efficient data structures and database schemas, working with distributed systems architecture. <li> Write efficient, readable, extensible code from scratch across multiple features/solutions. <li> Suggest and implement performance monitoring protocols for data pipelines. <li> Develop and maintain documentation and guides on procedures and features. <li> Perform root cause analysis to identify reasons for alerts and minimize points of failure. <li> Collaborate with data scientists, developers, and business stakeholders to understand data requirements and develop solutions. </ul> Requirements: <ul> <li> Hard Skill: At least 3 years of experience in big data engineering, with a focus on Spark and SQL. </ul> Preferred Qualifications: <ul> <li> Experience working with large data sets using SQL, Azure Data Lake, Spark, etc., to derive actionable insights. <li> Familiarity with Azure DevOps (YAML pipelines). <li> Proficiency in Azure Databricks (Python, PySpark, Spark SQL). <li> Knowledge of Azure Data Factory (C#). <li> Exposure to Azure Data Explorer (KQL/CSL). </ul>

Job Title: Data Engineer (Meta Data) Location: Jersey City, NJ Industry: Financial Services Contract Terms: Long term contract (12+ months) One of our Fortune 50 Financial Service Clients has a new opportunity as a Data Engineer. If you are looking for a highly visible project with exposure to multiple lines of business and stakeholders across the enterprise, we encourage you to apply! What's in it for you? <ul> <li> Hybrid schedule<li> Great growth opportunity for early in career applicants<li> Long term engagement<li> 401k eligibility<li> Comprehensive benefits<li> Free upskill training</ul> Required Qualifications: 1. Obtaining and analyzing Business and Technical Metadata and Data Lineage 2. Documenting and analyzing coverage / effectiveness of Data Quality Controls against Data Risks 3. Delivery of high quality error free program and project related deliverables on time 4. Financial Services experience in similar size Financial Institution Frequently Asked Questions: <ul> <li> Benefits? Yes, provided by Experis<li> Remote Workers? Hybrid (3 days onsite, 2 days remote in a week) <li> Corp-to-Corp? Not eligible</ul> How to Apply: For immediate attention please apply online

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