Associate Data Engineer 2027 - AI & Data Analytics
The Associate Data Engineer at Confidential Client supports the design, development, and optimization of scalable data platforms and products that enable analytics, machine learning, and AI solutions. This role involves working with diverse data types and technologies to ensure data quality, governance, and observability, collaborating closely with clients and cross-functional teams to deliver AI-enabled data solutions. The position offers growth through structured learning, mentorship, and exposure to cutting-edge AI and cloud technologies within Confidential Client's global consulting environment.
About Careertakes
👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, AI & Data Analytics consulting (Confidential Client).
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
Overview
Confidential Client is hiring an Associate Data Engineer to join an AI & Data Analytics consulting practice. This entry-level, full-time role is based in Hayes Valley, CA and supports modern data platforms, analytics, machine learning, generative AI, and agentic AI solutions. The position focuses on building reliable, observable data pipelines and AI-ready context for enterprise clients.
Estimated compensation: $126,346 per year (estimated).
What You’ll Do
- Assist in designing and implementing scalable data architectures, data products, and management systems for cloud-based analytics and AI use cases.
- Support ingestion, transformation, storage, and processing (batch and real-time) of structured, semi-structured, and unstructured data.
- Optimize pipelines, retrieval indexes, and data services for performance, reliability, freshness, and data quality.
- Prepare, validate, and catalog data to ensure integrity, lineage, and access controls for AI and analytics workflows.
- Help troubleshoot data quality issues, processing failures, and retrieval-quality gaps affecting analytics or agentic AI systems.
- Build dashboards, reports, and observability views to communicate pipeline health and analytic insights to technical and non-technical stakeholders.
- Translate client requirements into operational designs, APIs, data products, and implementation plans in collaboration with architects and engineers.
- Contribute to responsible AI and governance practices when preparing context and data for model-driven or agentic solutions.
Consulting & Collaboration Expectations
- Analyze business processes and information needs to identify opportunities for improved data, automation, and tooling.
- Work in Agile teams and follow project-management practices to deliver production-ready data and AI solutions.
- Communicate clearly and empathetically; ask constructive questions about data meaning, risk, governance, and business impact.
Required Minimum Qualifications
- High School Diploma or GED.
- Familiarity with one or more programming or query languages such as Python, SQL, Java, Scala, or JavaScript.
- Foundational understanding of data engineering concepts (data pipelines, databases, ETL/ELT, data modeling, APIs).
- Basic familiarity with public cloud environments (AWS, Azure, Google Cloud, IBM Cloud, or similar).
- Ability to apply foundational statistical, ML, or information-retrieval concepts to data preparation or model-support tasks.
- Strong analytical thinking, problem solving, teamwork, and communication skills.
- Willingness to travel up to 100% based on client/project needs.
Preferred Qualifications
- Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, MIS, AI/ML, or a related quantitative field.
- Coursework, internship, or project experience in data engineering, cloud platforms, analytics, or AI/ML.
- Experience or exposure to tools/technologies such as Spark, Kafka, Airflow, dbt, Databricks, Snowflake, Delta Lake, Linux.
- Familiarity with embeddings, vector databases (e.g., Pinecone, Weaviate, pgvector), retrieval-augmented generation (RAG), and LLM workflows.
- Exposure to orchestration or agent frameworks (LangChain, LlamaIndex, Semantic Kernel, etc.).
- Understanding of Git, containers, CI/CD, Kubernetes, observability tooling, data governance, privacy, and responsible AI practices.
- Relevant cloud or data certifications (SnowPro, Google Associate Cloud Engineer, Google Data Engineer coursework, etc.).
Compensation & Benefits
- Estimated annual pay: $126,346 (estimated).
- Competitive benefits may include medical, dental, vision, retirement savings (401k), paid time off, parental leave, learning and development resources, and employee resource groups — actual benefits will depend on role and location.
- Exact pay will vary depending on job-related skills, experience, and local law.
Other Important Details
- This is a full-time role. Travel up to 100% may be required depending on client engagements.
- Confidential Client does not provide visa sponsorship for this position now or in the future; you must have the ability to work without current or future visa sponsorship to be considered.
- Reasonable accommodations are available for applicants with disabilities; please notify the hiring team if you need an accommodation to participate in the application process.
Location
Hayes Valley, CA (on-site / client-facing as required by projects).
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.
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