Job Title: Data EngineerLocation: Los Angeles, CA (Hybrid, 3 days onsite)Salary: $130k-$170kEligibility: Must live in Los Angeles to be considered OverviewWe are seeking a highly skilled Data Engineer to join our team. You’ll work closely with data scientists, analysts, and developers to build robust, secure data models and pipelines that enhance our user data privacy, verification, and authentication processes. Must Haves:<ul><li>Databricks (Azure, AWS, or Google Cloud)</li><li>Python</li><li>Cloud Platform experience (Azure preferred)</li><li>Client facing/excellent communication skills</li></ul> Key Qualifications<ul><li>Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field</li><li>4+ years of experience in data engineering, data warehousing, and big data technologies.</li><li>Proficiency in SQL and experience with relational databases (PostgreSQL, MySQL, SQL Server)</li><li>Experience with cloud platforms (Azure preferred, AWS, or GCP accepted)</li><li>Knowledge of big data technologies (e.g., Spark, Hadoop, Databricks)</li><li>Familiarity with Customer Data Platforms (CDPs); Adobe CDP experience is a plus</li><li>Strong problem-solving abilities and collaborative skills, with adaptability to a fast-paced environment</li></ul> Responsibilities<ul><li>Develop and maintain scalable data pipelines supporting identity verification and authentication</li><li>Collaborate with data scientists to prepare data for model training, validation, and deployment</li><li>Implement and optimize ETL processes for accuracy and reliability</li><li>Monitor and troubleshoot workflows, ensuring continuous data integration</li><li>Integrate data engineering solutions with the broader product architecture</li><li>Ensure compliance with data governance, privacy, and security regulations</li><li>Translate stakeholder data requirements into technical specifications</li><li>Document processes and contribute to best practices</li></ul>

This is a full-time direct hire role that requires being onsite 2 days a week in Baltimore, MD. The position includes full benefits. Overview:A Senior Data Engineer is responsible for building and optimizing data pipelines, designing, and maintaining scalable systems for data storage and processing. This role will collaborate closely with product leaders, software engineers, and integration teams to ensure the effective flow and accessibility of data, enabling data-driven decision-making across the organization.Essential Functions:<ul><li>Data Pipeline Development: Design, build, and maintain scalable, efficient, and robust data pipelines to support the processing of large volumes of data.</li><li>Data Integration: Integrate data from a variety of sources (e.g., relational databases, APIs, third-party datasets) into a unified and accessible format.</li><li>Database Design & Management: Develop and maintain databases, data warehouses, and other data storage solutions to meet the organization’s data needs and business goals.</li><li>ETL/ELT Processes: Implement and manage Extract, Transform, Load (ETL/ELT) processes to ensure accurate and efficient movement of data between systems.</li><li>Data Quality & Governance: Ensure high data quality and availability by implementing appropriate monitoring, testing, and validation techniques.</li><li>Collaboration: Work closely with data integration engineers, business analysts, and software engineers to understand their data requirements and provide timely solutions.</li><li>Automation: Automate manual data processes and workflows to improve efficiency and reduce errors.</li><li>Data Security & Compliance: Ensure that all data solutions comply with data security, privacy, and regulatory requirements (e.g., GDPR, HIPAA).</li><li>Performance Optimization: Continuously monitor the performance of data systems and make improvements to increase efficiency and scalability.</li></ul>Required Qualifications:<ul><li>Bachelor’s degree in Computer Science, Information Technology, or a related field</li><li>Proven experience (3+ years) as a Data Architect, Data Engineer, or in a similar role</li><li>Proficiency in database technologies (e.g., MySQL, PostgreSQL, SQL Server)</li><li>Strong experience with data modeling, data warehousing, and ETL/ELT processes</li><li>Familiarity with cloud data platforms (AWS, Azure, Google Cloud)</li><li>Knowledge of data governance frameworks and data quality best practices</li><li>Strong problem-solving skills and the ability to translate business needs into data architecture solutions</li><li>Excellent communication and interpersonal skills</li></ul>

<h3>Job Description</h3><div>Job Description<div>We are on the lookout for a proficient Data Engineer to be a part of our team. In this role, you will be instrumental in supporting our Data Analytics team in the development of healthcare analytics products. You will be tasked with enhancing our production data pipeline and carrying out detailed analysis of both raw and processed data. This position is based in Louisville, Kentucky, 40222, United States. Responsibilities: • Implementing ETL design in the context of intricate datasets, primarily focusing on clinical healthcare data. • Working closely with stakeholders to comprehend requirements and visualize data architecture needs. • Designing, testing, deploying, and maintaining a data pipeline that collects and standardizes data from diverse sources to generate insights and meet reporting needs. • Establishing methodologies for data profiling and quality. • Assisting various teams in identifying opportunities to enhance efficiency, such as the automation of manual processes. • Acting as a subject matter expert on all data-related issues, independently troubleshooting them, and offering expertise to support team members. • Conducting ad-hoc data manipulation and analysis. • Undertaking other duties as assigned by the management.• Must have a minimum of 2 years of experience as a Data Engineer or in a similar role. • Proficiency in Apache Spark is essential. • Strong knowledge of Cloud Technologies is required. • Understanding and experience in Object Oriented Programming is necessary. • Must have skills in Data Visualization. • Experience in HealthCare Analytics is desirable. • Should be proficient in programming languages, specifically Python.</div></div>

Data EngineerMUST LIVE IN LOS ANGELES Job Overview:We are seeking an experienced Data Engineer to support our dynamic pricing team by building and optimizing data pipelines for machine learning models. You'll collaborate with data scientists, analysts, and developers to enhance pricing strategies while ensuring seamless data integration and model deployment. Strong communication skills and client interaction are key for this role. Must-Haves:<ul><li>Proficiency in Python</li><li>Experience with Azure Databricks</li><li>Cloud platform experience (Azure preferred)</li><li>Excellent client-facing and communication skills</li></ul> Responsibilities:<ul><li>Develop and maintain scalable data pipelines for dynamic pricing models.</li><li>Collaborate with teams to prepare data for model training, validation, and deployment.</li><li>Implement and optimize ETL processes to ensure data accuracy and reliability.</li><li>Work closely with stakeholders to gather requirements and deliver effective data solutions.</li><li>Monitor and troubleshoot data workflows, ensuring continuous data integration.</li><li>Ensure data governance and compliance with privacy and security standards.</li></ul> Qualifications:<ul><li>Bachelor’s or Master’s in Computer Science, Engineering, or related field.</li><li>4+ years of experience in data engineering, with a focus on data pipelines and big data technologies.</li><li>Experience with relational databases (PostgreSQL, MySQL, or SQL Server).</li><li>Strong problem-solving skills and ability to work in a fast-paced environment.</li></ul><li></li>

As a data engineer, you will play a crucial role in building and maintaining data infrastructure and pipelines for our revenue management systems. You will collaborate closely with data science and business stakeholders to ensure their data requirements are met consistently while also ensuring that the data pipelines are robust, scalable and efficient. Your expertise in modern software development practices and data engineering frameworks will be instrumental in implementing our data workflows and machine learning models in production Key responsibilities:<ol><li>Develop and maintain robust + scalable data pipelines to ingest, process and transform large data sets using variety of tools like Python, Snowflake and Bash, but not limited to those. </li><li>ML Ops Integration: Implement ML Ops practices to streamline the deployment, monitoring, and management of machine learning models in production environments</li><li>Cloud Services: Utilize AWS or other cloud services as required for Data Engineering, Data Science and ML modelling</li><li>Dev Ops Practices: Apply modern software development practices including CI / CD, Version Control and automated testing to ensure efficient and reliable data engineering process</li><li>Collaboration: Work closely with cross-functional teams, including data scientists, analysts and business stakeholders, to understand data requirements and deliver robust, scalable data pipelines based on those requirements</li><li>Documentation: Maintain comprehensive documentation of data workflows, pipelines and processes</li><li>Performance Optimization: Continuously monitor and optimize data processes and systems for performance, scalability and cost-efficiency</li></ol> Qualifications:<ol><li>Education: Bachelor’s or master’s degree in computer science, Engineering or related field</li><li>Experience: Minimum 5 years of experience in data engineering or related role, with a proven record of building and maintaining data pipelines and infrastructure</li><li>SQL Skills: Advanced proficiency in SQL and experience with relational databases like Snowflake, Oracle</li><li>Programming: Strong programming skills in Python or similar language, with experience in developing data processing scripts and applications</li><li>Scripting: Proficiency in bash scripting for automating data workflows and processes</li><li>Cloud Services: Hands-on experience with AWS or other cloud platforms, including services like S3, EC2, RDS, Lambda and Glue</li><li>Dev Ops and ML Ops: Hands on experience with modern software development practices, CI / CD pipelines for data and machine learning workflows</li><li>Analytical Skills: Strong analytical and problem-solving skills, with ability to translate business requirements into technical solutions</li><li>Communication: Excellent communication and collaboration skills, with the ability to work effectively in a remote and distributed team environment</li></ol> The pay range for this position is 55hr to 70hr. Benefits available to contract/temporary professionals, include medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.

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