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Databricks Engineer Jobs in Dover, DE (NOW HIRING)

You will partner with the VP of Engineering for AI Platform, the Staff AI Engineers building AI ... Experience with enterprise data platforms (Teradata Vantage, Snowflake, Databricks, or equivalent ...

Collaborate with cross-functional teams such as IT and engineering to integrate data from various ... Experience working within data platforms like Databricks/Snowflake, and analytics modeling ...

Collaborate with cross-functional teams such as IT and engineering to integrate data from various ... Experience working within data platforms like Databricks/Snowflake, and analytics modeling ...

Collaborate with cross-functional teams such as IT and engineering to integrate data from various ... Experience working within data platforms like Databricks/Snowflake, and analytics modeling ...

Collaborate with cross-functional teams such as IT and engineering to integrate data from various ... Experience working within data platforms like Databricks/Snowflake, and analytics modeling ...

Collaborate with cross-functional teams such as IT and engineering to integrate data from various ... Experience working within data platforms like Databricks/Snowflake, and analytics modeling ...

Collaborate with cross-functional teams such as IT and engineering to integrate data from various ... Experience working within data platforms like Databricks/Snowflake, and analytics modeling ...

Collaborate with cross-functional teams such as IT and engineering to integrate data from various ... Experience working within data platforms like Databricks/Snowflake, and analytics modeling ...

Databricks Engineer information

See Dover, DE salary details

$59.5K

$111.6K

$202.9K

How much do databricks engineer jobs pay per year?

As of Aug 2, 2026, the average yearly pay for databricks engineer in Dover, DE is $111,570.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,500.00 and $132,400.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior Databricks Engineers with extensive experience, specialized skills in big data, cloud platforms, and advanced analytics can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or with significant bonuses and stock options. Such compensation typically requires a combination of technical expertise, leadership roles, and years of industry experience.

Is Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and the need for expertise in big data processing, Spark, and cloud environments. Companies seek professionals skilled in data pipeline development, ETL processes, and cloud tools like AWS or Azure, making this a strong job market for qualified candidates.

What are some common challenges faced by Databricks Engineers when working with large-scale data pipelines?

Databricks Engineers often encounter challenges related to optimizing the performance and reliability of large-scale data pipelines. These can include efficiently managing cluster resources, handling data partitioning to prevent bottlenecks, and troubleshooting job failures due to resource constraints or data quality issues. Collaboration with data scientists, analysts, and DevOps teams is essential to ensure seamless integration and deployment of production workflows. Staying current with evolving Databricks features and best practices also plays a key role in overcoming these challenges.

How much does a Databricks engineer make?

A Databricks engineer's salary typically ranges from $100,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, or data engineering may earn higher compensation. Salaries can also vary based on industry demand and certifications held.

Is Databricks a high paying job?

A Databricks Engineer typically earns a high salary due to the specialized skills required in cloud computing, big data processing, and Spark platform expertise. Compensation varies based on experience, location, and certifications, but it is generally above average for data engineering roles.

What is a Databricks Engineer?

A Databricks Engineer is a data engineering professional who specializes in using the Databricks platform to build, manage, and optimize data pipelines and analytics solutions. They work with big data technologies like Apache Spark, Delta Lake, and cloud services to process and analyze large datasets efficiently. Their role often involves developing ETL (extract, transform, load) workflows, setting up data lakes, and ensuring data quality and performance for business intelligence and machine learning applications.

What are the key skills and qualifications needed to thrive as a Databricks Engineer, and why are they important?

To thrive as a Databricks Engineer, you need strong expertise in big data processing, cloud platforms (like AWS or Azure), and proficiency with languages such as Python, SQL, and Scala, often supported by a degree in computer science or a related field. Familiarity with Apache Spark, Databricks Workspace, version control systems like Git, and relevant Databricks certifications are typically required. Strong analytical thinking, collaboration, and effective communication skills help you understand business needs and work seamlessly with data teams. These skills ensure efficient data pipeline development, scalable analytics solutions, and successful integration of Databricks into organizational workflows.
What job categories do people searching Databricks Engineer jobs in Dover, DE look for? The top searched job categories for Databricks Engineer jobs in Dover, DE are:
What cities near Dover, DE are hiring for Databricks Engineer jobs? Cities near Dover, DE with the most Databricks Engineer job openings:

Principal AI Architect (Dover)

Teradata

Dover, DE • On-site

Full-time

Medical, Life, Retirement

Posted 20 days ago


Job description

Our Company

At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers—and our customers’ customers—to make better, more confident decisions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.

What You’ll Do

As the Principal AI Architect for Teradata AI Studio, you will define the technical architecture of Teradata's end-to-end AI development environment — the platform where data scientists, ML engineers, and AI developers build, test, deploy, and monitor AI and agentic applications on top of Vantage.

You will set the architectural direction for how AI Studio integrates with Teradata Vantage's query engine, model registry, feature store, and agent harness. You will establish the patterns for how enterprise customers build trustworthy AI workflows — from data preparation through model deployment to agent‑driven automation — and ensure that AI Studio is the most capable, governed, and scalable AI development environment in the market.

This is a hands‑on technical leadership role. Success means shipping architectural decisions that other engineers can build on with confidence, customers adopting AI Studio at scale, and Teradata being recognized as the platform of choice for enterprise AI development.

Who You’ll Work With

You will be the senior technical voice for AI Studio within Teradata's AI Apps, Analytics, and UX Engineering organization. You will partner with the VP of Engineering for AI Platform, the Staff AI Engineers building AI Studio components, and the Product Management team to align architecture with product strategy.

This role has significant cross‑functional reach — you will engage with Teradata's Core Data Platform team on Vantage integration points, with the Security and Governance team on enterprise‑grade AI controls, and with key customers in design partner engagements to ensure AI Studio solves real problems at enterprise scale.

What Makes You a Qualified Candidate
  • 10+ years of software engineering experience, including 3+ years in a senior architect or principal engineer role with platform‑wide technical scope.
  • Demonstrated expertise designing AI/ML platforms or developer tools: model serving infrastructure, feature stores, experiment tracking, MLOps pipelines, or AI agent development environments.
  • Deep understanding of LLM integration patterns: RAG architectures, fine‑tuning pipelines, evaluation frameworks, and agent tool‑calling interfaces.
  • Experience with enterprise data platforms (Teradata Vantage, Snowflake, Databricks, or equivalent) at sufficient depth to architect against their APIs, security models, and performance characteristics.
What You’ll Bring
  • Experience building developer‑facing platforms — SDKs, APIs, or IDEs — that external developers adopt and extend.
  • Familiarity with open‑source AI development tools: MLflow, Weights & Biases, Hugging Face, LangChain, LangGraph, or comparable.
  • Understanding of enterprise AI governance requirements: model lineage, data access controls, audit logging, and responsible AI guardrails.
  • Experience with cloud‑native architecture (AWS, Azure, GCP) and containerized ML workloads (Kubernetes, Docker).
  • Strong cross‑functional influence: you can drive alignment across engineering, product, and customer‑facing teams without formal authority.
  • A portfolio of architectural decisions — RFCs, design docs, or open‑source work — that demonstrates your approach.
  • A passion for how AI can unlock potential to help our teams, our customers, and our communities achieve great things.
Why We Think You'll Love Teradata

We prioritize a people‑first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well‑being because we care about our people and their ability to thrive both personally and professionally. We are committed to actively working to foster an inclusive environment that celebrates people for all of who they are.

Teradata is proud to be an equal opportunity employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status. We welcome and encourage individuals from all backgrounds to apply and join our team, bringing their unique perspectives and experiences to help us innovate and grow. If you require accommodations during the interview process, please let your recruiter know and we will work with you to meet your needs.

Pay Rate: 217300.0000 - 271600.0000 - 325900.0000 Annually

Starting pay for the successful applicant will depend on geographic location, internal equity, job‑related knowledge, skills, and candidate experience. Sales roles will be eligible for commission payments tied to quota achievement. All other permanent roles will be eligible for one of our annual incentive plans, which are based on company financial attainment and individual performance.

Employees in this position are also eligible to participate in the Company's comprehensive benefits programs, which include healthcare, life and disability insurance plans, a 401(k)-retirement savings plan, and time‑off programs. Specific details of these benefits, including eligibility criteria and plan options, will be provided during the hiring process and can be reviewed here: https://www.teradata.com/About-Us/Careers/Benefits

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