This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Genius is looking for a remote Senior Data Engineer to help build the ultimate music companion. Overseeing millions of pages of lyrics, annotations, and music metadata, your work will power Genius.com, our public API, and our partner integrations, with no shortage of interesting data challenges to solve. We're looking for engineers who thrive in complex backend systems: folks who can build robust data pipelines, optimize query performance at scale, and keep critical services running smoothly. As a Senior Data Engineer for Genius, you will play a key role in strengthening our data infrastructure, helping us process, transform, and serve the music knowledge that powers everything we do. You will work across our Rails backend, PostgreSQL databases, and Python-based data pipelines to improve data reliability, throughput, and accuracy. Additionally, you'll work to improve the stability, performance, and scalability of Genius' backend services, which is no small feat for a platform serving millions of users daily! Location Requirement: Candidates must be based in Los Angeles, California, or Seattle, Washington to be considered for this role. What You’ll Do - Build and maintain data pipelines using Python and Airflow to ingest, transform, and enrich music metadata from internal and external sources - Proactively identify and fix infrastructure bottlenecks to scale backend services to tens of thousands of requests per minute - Architect database query patterns and migrations in PostgreSQL, Clickhouse and BigQuery that scale to large tables with 1B+ rows - Design and implement backend APIs in Ruby on Rails that serve data reliably and performantly to our frontend and partner integrations - Take ownership over the systems you build, proactively identifying and surfacing performance, reliability, and maintainability improvements - During your on-call rotation, be the backstop for backend quality, stability, and performance. Triage incoming issues to find the most urgent problems, and handle emergent incidents to keep services online - Work directly with stakeholders to uncover and address business needs, including product owners, data analysts, and other engineers across the company Qualifications - Hands-on experience building and maintaining ETL/ELT pipelines using Python and workflow orchestration tools like Apache Airflow - Deep proficiency with PostgreSQL and relational databases - Strong experience with Ruby on Rails (or a similar "batteries-included" framework) - Brings a product-first mindset, able to drive projects from ideation to launch while focusing on data quality, system reliability, and cross-functional alignment - Comfortable working cross-functionally with frontend engineers, data analysts, product, and other teams - Demonstrates a passion for staying current with new technologies, frameworks, and industry best practices Requirements - At least 4 years of hands-on experience in a backend or data engineering capacity, preferably in a product-driven environment Education (Preferred) - Bachelor's degree in Computer Science, Engineering, or a related technical field

• Design, develop, and maintain scalable data pipelines using Airflow; • Create and optimize tables in Athena, ensuring efficient query performance and cost-effectiveness; • Write and manage SQL transformations in DBT, building reusable and well-documented models; • Optimize data workflows for performance, reliability, and cost-efficiency; • Automate infrastructure provisioning using Terraform for data processing environments; • Ensure data integrity and consistency through monitoring, validation, and error handling; • Collaborate with analytics, BI, and engineering teams to understand data needs and deliver solutions; • Troubleshoot and resolve data pipeline issues in a timely manner.

Job Title: Data Engineer Job Category: Information Technology Time Type: Full time Minimum Clearance Required to Start: Public Trust Employee Type: Regular Percentage of Travel Required: None Type of Travel: None * * * CACI seeks a data engineer that will be responsible for designing, building, validating, and maintaining scalable data pipelines and analytics solutions with a strong emphasis on Databricks and data quality. This role partners closely with our product owners, analysts, data scientists and software engineers to translate business and technical requirements into reliable, testable, and high-quality data solutions to support programmatic goals. Responsibilities: Design, develop, optimize and maintain scalable data pipelines and transformations using Databricks, Apache Spark and SQL. Impelement data ingestion, transformation, and orchestration workflows to support back and where applicable real-time processing. Perform data quality assurance activities, including identifying and resolving any inconsistencies in data flow, data outside legitimate ranges, and illogical data responses by developing data quality reports and investigation and resolution of data anomalies or errors by using a combination of software packages including SAS, Excel, and other software as warranted. Use technical expertise, initiative, creativity, critical thinking, and strong communication and interpersonal skills daily to solve data quality problems in support of technical development efforts. Implement data quality controls to ensure accuracy, completeness, and reliability of datasets. Document data pipelines, transforms, business rules and data dependencies using appropriate technical documentation methods (e.g., data flow diagrams, data dictionaries, etc.). Serve as liaison and coordinate with a multi-disciplinary team. Collaborate with the program team to identify opportunities for process improvements, making strategic adjustments, and exploit opportunities focused on maximizing programmatic impact. Communicate data issues, risks, and remediation approaches clearly to technical and non-technical team members. Qualifications: Required: Must be able to obtain a Public Trust clearance. Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related technical field (or equivalent experience) Demonstrated experience as a Data Engineer in a production environment Strong hands-on experience with Databricks, including Spark-based data processing Proficiency in SQL and at least one programming language such as Python Excellent communication skills: listening, writing, and experience interacting comfortably with scientists, epidemiologists, informaticians and developers. Experience supporting analytics, reporting or machine learning workloads. These Qualifications Would Be Nice to Have - Experience supporting public health, healthcare, or government data systems - Knowledge of data governance, data quality frameworks, or metadata management - Experience working with large-scale analytics or reporting environments - Familiarity with Power BI or other business intelligence tools - Prior experience supporting multiple teams or programs simultaneously (the “steady hand” type) - Exposure to Agile or iterative delivery environments. - Prefer candidate to be in the Atlanta, Georgia area. - What You Can Expect: A culture of integrity. At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation. An environment of trust. CACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality. A focus on continuous growth. Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy. Pay Range: There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Since this position can be worked in more than one location, the range shown is the national average for the position. The proposed salary range for this position is: $63,300-$129,700 CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

Location: This position is remote within the United States. About Technology at HugeAt Huge, technology is more than a delivery mechanism; it’s a canvas for experimentation. We don’t just build products; we architect and scale the future of how people connect with digital environments. Our technologists are makers and visionaries who bridge the gap between “what if” and “here it is,” ensuring that every line of code pushes the boundaries of craft and utility. The RoleHuge is looking for a Senior Data Engineer with strong experience in web analytics implementation and data tracking architecture. In this role, you will support the implementation and optimization of analytics frameworks that enable accurate measurement of user behavior across digital platforms. You will work closely with engineering, product, and analytics teams to ensure that tracking systems are properly implemented, scalable, and aligned with business and reporting needs. This role requires hands-on experience with Google Analytics ecosystems and a strong understanding of web data instrumentation. IMPORTANT DISCLOSUREThis is a freelance contract role. Candidates must be available for the full duration of the project and agree to the allocation and hours outlined below before entering the interview process. - Start date: March 16 - End date: May 1 - Allocation: 50% - Total hours: 140 - Candidates must use their own equipment. What You’ll Be Doing - Implement and maintain Google Analytics tracking across web platforms. - Configure and manage event tracking and conversion tracking strategies. - Implement and maintain Google Tag Manager containers and tagging architecture. - Develop and manage DataLayer structures to ensure accurate data capture. - Support GA4 implementation and optimization for web analytics. - Ensure proper web analytics instrumentation for user behavior tracking. - Validate tracking accuracy and collaborate with teams to resolve tracking issues. - Work with engineering and product teams to ensure analytics tracking aligns with platform architecture. - Support the implementation of scalable tracking frameworks for digital products. - Ensure data accuracy for reporting, performance analysis, and decision-making. What We’d Like to See - Strong experience with Google Analytics tagging and implementation. - Hands-on experience with Google Analytics 4 (GA4). - Experience implementing and managing Google Tag Manager (GTM). - Experience configuring event tracking and conversion tracking. - Experience implementing and managing DataLayer structures. - Strong understanding of web analytics instrumentation and user behavior tracking. - Ability to collaborate with cross-functional teams in agile environments. Contract Details - Start date: March 16 - End date: May 1 - Allocation: 50% - Total hours: 140 - This is a freelance contract role. This role is currently not available for hire or work in New Mexico, and Hawaii. About Huge Huge is a design and technology company. We create products and experiences that grow the world’s most ambitious brands. We do this by designing experiences for people, not users, and uncovering new sources of growth by leveraging our creative talent, our proprietary platform LIVE and unlocking the advantages brought to us by emerging technologies. We believe all experiences should be intelligent, shoppable and unique to every brand. Huge’s nearly 1,000 thinkers, tinkerers, makers and creators, have been problem-solving across North America, Europe, and Latin America for over 25 years. Interested? You’ll find more information at www.hugeinc.com. Huge is committed to creating an inclusive employee experience for all. Regardless of race, gender, religion, sexual orientation, age, disability, or if you’re parenting the next generation of innovators, we firmly believe that our work is at its best when everyone feels free to be their most authentic self. Huge is an equal opportunity employer (EOE). We strongly support diversity in the workforce. We are committed to an inclusive, barrier-free recruitment and selection process and work environment. If you are contacted for a job opportunity, please advise us of any accommodation needed to ensure you have access to a fair and equitable process. Any information received relating to accommodation will be addressed confidentially. Workers shall not be required to pay employers’ or agents’ recruitment fees or other related fees for their employment. If any such fees are found to have been paid by workers, such fees shall be repaid to the worker. #LI-POST #LI-Remote The salary range for this position is as listed below. Exactly where a prospective employee will be paid within this range will depend on, among other factors, the actual salary ranges for current and former employees who are either currently filling a similar role or did in the past; the candidate’s depth of experience and qualifications; the level of specialization the role requires; budgetary considerations; the market demand for that role and the local market conditions that exist where the employee will be based. For current Huge employees, tenure will also be a consideration. Wage Disclosure $60—$65 USD