Title: Data Engineer Location: Los Angeles United States Job Description: Data Engineer Los Angeles, CA Remote Hybrid San Francisco, CA Information Technology Full Time Hybrid Hybrid apply for this job Data Engineer Employment Type: Full-Time Mid-level Department: Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing solutions that empower our federal customers with the tools and capabilities needed to turn data into actionable insights. The ideal candidate is a critical thinker and perpetual learner excited to gain exposure and build skillsets across a range of technologies while solving some of our clients toughest challenges. CGS brings motivated highly skilled and creative people together to solve the governments most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and Attributes for Success: - Complete development efforts across data pipeline to store, manage, store, and provision to data consumers. - Being an active and collaborating member of an Agile-Scrum team and following all Agile-Scrum best practices. - Write code to ensure the performance and reliability of data extraction and processing. - Support continuous process automation for data ingest. - Achieve technical excellence by advocating for and adhering to lean-agile engineering principles and practices such as API-first design, simple design, continuous integration, version control, and automated testing. - Work with program management and engineers to implement and document complex and evolving requirements. - Help cultivate an environment that promotes customer service excellence, innovation, collaboration, and teamwork. - Collaborate with others as part of a cross-functional team that includes user experience researchers and designers, product managers, engineers, and other functional specialists. Qualifications: - Must be a US Citizen. - Must be able to obtain a Public Trust Clearance. - 7 years of IT experience, including experience in design management and solutioning of large complex data sets and models. - Experience with developing data pipelines from many sources from structured and unstructured data sets in a variety of formats. - Proficiency in developing ETL processes and performing test and validation steps. - Proficiency to manipulate data (Python, R, SQL, SAS). - Strong knowledge of big data analysis and storage tools and technologies. - Strong understanding of the agile principles and ability to apply them. - Strong understanding of the CICD pipelines and ability to apply them. - Experience with relational database such as PostgreSQL. - Work comfortably in version control systems such as Git Repositories. Ideally You Will Also Have: - Experience creating and consuming APIs. - Experience with DHS and knowledge of DHS standards a plus. - Candidates will be given special consideration for extensive experience with Python. - Ability to develop visualizations utilizing Tableau or PowerBI. - Experience in developing Shell scripts on Linux. - Demonstrated experience translating business and technical requirements into comprehensive data strategies and analytic solutions. - Demonstrated ability to communicate across all levels of the organization and communicate technical terms to non-technical audiences. Our Commitment: Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our clients specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, weve been growing our government-contracting portfolio, and along the way, weve created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS, we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers, mending those relations for years to come. We Care About Our Employees: We offer a comprehensive benefits package: - Health, Dental, and Vision - Life Insurance - 401k - Flexible Spending Account (Health, Dependent Care, and Commuter) - Paid Time Off and Observance of State/Federal Holidays Contact Government Services LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join Our Team and Become Part of Government Innovation: Explore additional job opportunities with CGS on our Job Board: https://cgsfederal.com/join-our-team For more information about CGS, please visit: https://www.cgsfederal.com or contact: Email: emailprotected, CJ112597.33 - $152,810.66 a year We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. apply for this job

• ETL/ELT Pipeline Development: Build, and maintain scalable data pipelines using AWS. Implement both batch and incremental load patterns for BI reporting and application data needs. • Real-Time Data Streaming: Develop and manage real-time data ingestion pipelines using Kafka. Ensure low-latency, fault-tolerant data flow for critical business workflows. • Workflow Orchestration: Build, schedule, and monitor end-to-end data workflows using Apache Airflow. Manage dependencies, retries, and alerting for production DAGs. • Data Warehouse Management: Administer and optimize Amazon Redshift clusters including schema design, query performance tuning, distribution/sort keys, and vacuuming to ensure high availability and cost efficiency. • Data Quality & Observability: Implement automated data quality checks at ingestion and transformation stages. Define validation rules, build alerting for anomalies and discrepancies, and establish SLAs to ensure stakeholders can trust the data they use. • API Integrations: Integrate third-party and internal REST APIs into data pipelines to pull operational and product data into the warehouse. • Cloud Cost Optimization: Monitor and right-size data processing and storage resources across S3, EMR, Redshift, EC2, and Lambda. Proactively identify inefficiencies and propose cost-saving improvements. • BI & Analytics Collaboration: Partner with the BI team to align data models, preprocessing logic, and Redshift schema design with reporting and dashboard needs.

Role Description Corpay is currently looking to hire a Data Engineer – Contractor to join our team. In this role, the Data Engineer - Contractor will join our Data & Analytics team and help support, enhance, and scale our enterprise data platform. This role will be responsible for developing and maintaining data pipelines, data models, and reporting datasets across our Microsoft Fabric environment, enabling reliable and actionable data for business stakeholders. The ideal candidate will have hands-on experience with Microsoft Fabric, Azure Data Factory, Azure SQL technologies, Data Warehouses, and Lakehouses. This role will focus on ensuring the stability, performance, and scalability of our data ecosystem while supporting ongoing business initiatives within the payments industry. Responsibilities - Supporting and enhancing enterprise data solutions built within Microsoft Fabric, ensuring reliability, scalability, and performance. - Developing, maintaining, and optimizing data pipelines using Microsoft Fabric and Azure Data Factory. - Building and managing data ingestion processes from internal and external data sources. - Supporting and maintaining Fabric Data Warehouses, Lakehouses, and related data assets. - Monitoring data pipelines and platform performance, proactively identifying and resolving issues. - Ensuring data quality, consistency, and governance standards are maintained across the platform. - Creating and maintaining technical documentation for data pipelines, data models, and operational processes. - Participating in platform modernization initiatives and continuous improvement efforts. - Supporting testing, deployment, and production validation activities for data engineering projects. - Working closely with analytics, reporting, and business intelligence teams to enable accurate and timely reporting. - Assisting in troubleshooting complex data integration and performance issues across multiple systems. Qualifications - 3–5 years of experience in Data Engineering, Data Integration, or a related technical field. - Hands-on experience with Microsoft Fabric, including Data Warehouses, Lakehouses, and data pipelines. - Knowledge of data modeling, data warehousing, and data integration best practices. - Experience troubleshooting and optimizing large-scale data processing workloads. - Strong analytical and problem-solving skills. - General payments industry experience, including exposure to payment processing, financial services, fintech, commercial payments, AP automation, or related domains. - Familiarity with broad Azure data services. - Experience working in fintech, payments, banking, or financial services organizations. - Microsoft Fabric, Azure, or related cloud certifications. Benefits - Company-issued equipment. - Hands-on training.

Role Description Accenture Flex offers you the flexibility of local fixed-duration project-based work powered by Accenture, a leading global professional services company. As an Accenture Flex employee, you will apply your skills and experience to help drive business transformation for leading organizations and communities. Responsibilities: - Responsible for the design and implementation of scalable & fault tolerant data applications on on-prem & AWS to store and process terabytes of data from upstream sources with high availability. - Partner with information architects, platform architects, data scientists, and product management on solution requirements to design solutions. - Hands-on experience with Advanced Ab Initio concepts, including ETL project development, solution design, metaprogramming, PDL. - Design generic ETL frameworks using Ab Initio, coupled with strong hands-on involvement in audit and reconciliation workflows. - Strong cloud engineering skills with AWS, including hands-on experience with S3, Amazon Redshift and related data services. - Work with batch and real-time data pipelines in a DevOps environment. - Hands-on understanding and working knowledge of the Hadoop ecosystem, including Hive. - Utilize innovative frameworks to avoid redundancy by promoting automation. - Identify enablers and level of effort required to properly ingest and transform data for the DWH & data. - Stay up to date on latest trends in data engineering, coach team members and recommend best practices, insights and/or expertise in deliverables. - Work closely with Product Owners, Product Managers, Program Manager, Scrum Masters and Team Members in a Scaled Agile framework. - Develop and maintain strong collaborative working relationships with Technology and Business Stakeholders. Qualifications - Minimum of 5 years of data warehouse and ETL Ab Initio experience, including hands-on technical and lead capabilities. - Minimum of 5 years of experience working with Ab Initio GDE, Conduct IT, Meta Programming, PDL, Hadoop, Shell Scripting, and SQL. - Minimum of 5 years of experience working in the banking industry. - High School Diploma or GED. Requirements - Bachelors or Associates degree (preferred). - Cloud Migration experience and PySpark (preferred). Benefits - Market competitive suite of benefits including medical, dental, vision, and long-term disability coverage. - 401(k) plan. - Paid time off.