Confidential Client - Associate Data Engineer
The Associate Data Engineer at Confidential Client is responsible for building and maintaining data systems and pipelines that support analytics across the organization. This role involves developing reliable ETL processes, ensuring data quality and security, collaborating with analytics teams, and supporting data-driven decision making within the sports and live entertainment context.
About CareerTakes
CareerTakes is a next-generation AI recruiting platform that connects early-career talent with real roles at established companies across regulated industries.
👉 Important disclosure: CareerTakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Entertainment Providers.
Applicants for this role may also receive access to additional matched opportunities through the CareerTakes platform.
What You’ll Do
You will support the data engineering needs for our confidential client by building, operating, and improving data systems and pipelines that power analytics and reporting. This role focuses on reliable data ingestion, transformation, monitoring, and documentation to enable data-driven decisions across analytics and BI teams.
Responsibilities
- Engineer, deploy, and monitor ETL/ELT pipelines and data ingestion workflows using modern tooling (Python, PySpark, Databricks, Azure Data Factory, etc.).
- Build and maintain data pipelines to collect, clean, transform, and load structured and semi-structured data into analytics environments.
- Collaborate with analytics engineers, data scientists, and business stakeholders to understand data needs and deliver production-ready datasets.
- Create, maintain, and optimize data models, views, and database objects (tables, indices, UDFs) to support dashboards and reporting.
- Implement and maintain data quality checks, observability, and remediation processes; produce data hygiene and quality reports.
- Document data flows, schemas, and ERDs; maintain data catalogs and lineage where applicable.
- Ensure data protection, security, and governance controls are followed, particularly for PII and sensitive information.
- Troubleshoot and remediate production incidents and performance issues in data platforms and pipelines.
- Communicate technical concepts effectively to non-technical stakeholders and provide support for dashboarding/BI requirements.
Required Qualifications
- 0–2 years of relevant experience as a data engineer, analytics engineer, or similar role.
- Strong programming skills in Python; experience with PySpark or Spark-based processing.
- Familiarity with Databricks, Spark, Hadoop, or other big data technologies.
- Experience with cloud data services — especially Azure (Azure SQL Database, Azure Data Factory) and NoSQL technologies.
- Experience creating and managing database objects (tables, views, indices, UDFs, triggers).
- Strong attention to detail and commitment to data quality and testing.
- Clear written and verbal communication; ability to explain technical topics to non-technical audiences.
- Ability to work both independently and collaboratively in cross-functional teams.
- BA/BS in mathematics, engineering, physics, computer science, or related quantitative field (or equivalent experience).
Preferred Qualifications
- Prior experience with analytics/BI tools and dashboard production support.
- Experience implementing data governance and PII controls in production systems.
- Interest or experience in sports, live entertainment, or related industries.
- Familiarity with CI/CD for data pipelines, infrastructure-as-code, and monitoring tools.
Compensation & Benefits
- Pay range: $40.00 - $45.00 per hour.
- Bonus: This position is not eligible for a bonus under the current bonus plan requirements.
- Benefits (full-time): medical, dental, and vision insurance; paid holidays, vacation and sick time; company-paid basic life insurance; voluntary life insurance; parental leave; 401(k) plan with employer match (current match 3%); flexible spending and health savings accounts; wellness offerings.
- Our client does not offer work visa sponsorship for this position.
- Employment is subject to applicable background checks and verifications consistent with state and federal law.
- Reasonable accommodations are available for applicants with disabilities throughout the application and hiring process.
How to Apply
CareerTakes is managing initial candidate matching and application intake for this confidential client. Apply through the CareerTakes platform and include:
- An up-to-date resume highlighting relevant data engineering, ETL, and cloud experience.
- A brief cover note describing recent projects using Python, PySpark/Spark, Databricks or Azure data services.
Final hiring decisions are made by the confidential client. If you have questions about the role or application process, you may contact CareerTakes support via the platform.
Equal Opportunity & Hiring Transparency
CareerTakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
If you have questions about how your data is used, please contact us directly.