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Contract Databricks Developer Jobs in Indiana (NOW HIRING)

Eli Lilly and Company

Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Build scalable, efficient Databricks pipelines implementing canonical data models across the ... contract, policy, and agent artifacts. Automate data ingestion and product creation to reduce ...

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Allegion

Lead Platform Data Engineer

Carmel, IN · On-site

Architect cross-application data models and Data Contracts (OpenAPI/AsyncAPI) to standardize ... g., Snowflake, Databricks, or BigQuery). Mastery of SQL is non-negotiable. * Modern Languages:

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Contract Databricks Developer information

What is a Contract Databricks Developer?

A Contract Databricks Developer is a data engineering professional hired on a temporary or project basis to develop, optimize, and maintain data pipelines and analytics solutions using the Databricks platform. They work with cloud data technologies, Spark, and big data frameworks to support organizations in managing large-scale data processing and analytics tasks. Their responsibilities often include building ETL workflows, collaborating with data scientists, and ensuring data quality and performance in data-driven projects.

What are the key skills and qualifications needed to thrive as a Contract Databricks Developer?

To excel as a Contract Databricks Developer, you need strong expertise in data engineering, big data analytics, and proficiency in programming languages like Python or Scala, typically backed by relevant experience or a degree in computer science. Familiarity with Databricks, Apache Spark, cloud platforms (such as Azure or AWS), and certifications like Databricks Certified Associate Developer are commonly required. Excellent problem-solving, adaptability, and communication skills help you collaborate with clients and teams to deliver tailored data solutions. These competencies are crucial for building scalable data pipelines and efficiently managing large datasets in dynamic project environments.

What are some common challenges faced by Contract Databricks developers when starting a new project?

As a Contract Databricks Developer joining a new project, you may encounter challenges such as quickly understanding the existing data architecture, adapting to the client's specific workflow, and ensuring seamless integration with their cloud infrastructure (often Azure or AWS). You’ll also need to align with established data governance and security protocols while collaborating with data engineers, analysts, and business stakeholders. Effective communication and proactive documentation are key to overcoming these hurdles and delivering value efficiently within the contract period.

What is the difference between Contract Databricks Developer vs Data Engineer?

AspectContract Databricks DeveloperData Engineer
Primary FocusDeveloping and optimizing data pipelines using Databricks platformDesigning, building, and maintaining scalable data architectures
Skills & CertificationsProficiency in Spark, SQL, Python, Databricks platform, and cloud servicesKnowledge of ETL processes, SQL, Python, cloud platforms, and data modeling
Work EnvironmentProject-based, often remote, with a focus on Databricks environmentsVaries from in-house teams to consulting, working on large-scale data systems

While both roles require expertise in data processing and cloud platforms, a Contract Databricks Developer specializes in building data solutions specifically within the Databricks environment, whereas a Data Engineer has a broader scope in designing and managing overall data infrastructure across various tools and platforms.

What are the most commonly searched types of Databricks Developer jobs in Indiana?

The most popular types of Databricks Developer jobs in Indiana are:

What are popular job titles related to Contract Databricks Developer jobs in Indiana?

For Contract Databricks Developer jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Contract Databricks Developer jobs in Indiana look for?

The top searched job categories for Contract Databricks Developer jobs in Indiana are:

Contract Databricks Developer jobs near you

Data Scientist with Data Bricks Lakehouse contract C2C requirements

Indianapolis, IN • On-site

Tech Mirrors
See more jobs at Tech Mirrorsexternal

$90 - $120/hr

Other

Posted 21 days ago

Job description

Position: Data Scientist with Data Bricks Lakehouse

Location: Indianapolis, IN (Onsite)

Duration: 8+ months

Description:

We are seeking a Databricks Data Scientist with strong experience in Databricks Lakehouse, advanced analytics, and Genie (AI/BI) to design, build, and deploy scalable data science and AI solutions. This role will focus on transforming enterprise data into actionable insights using machine learning, natural language analytics, and self-service BI powered by Databricks Genie.

Key ResponsibilitiesData Science & Machine Learning
  • Design, develop, and deploy machine learning models using Databricks (MLflow, Spark ML, Python).
  • Implement end-to-end ML pipelines (data ingestion→training→deployment→monitoring).
  • Collaborate with data engineers to ensure reliable, high-quality datasets in the Lakehouse.
Databricks & Lakehouse Architecture
  • Leverage Databricks Lakehouse (Delta Lake, Unity Catalog) for scalable analytics.
  • Optimize Spark jobs for performance and cost efficiency.
  • Apply best practices for data governance, lineage, and security.
Genie (AI/BI & Natural Language Analytics)
  • Configure and enable Databricks Genie for self-service analytics.
  • Design semantic layers and curated datasets optimized for natural language queries.
  • Partner with business stakeholders to translate questions into Genie-enabled insights.
Business Enablement & Collaboration
  • Work closely with product owners, analysts, and business leaders to identify high-value use cases.
  • Communicate complex analytical results in a clear, business-friendly manner.
Required Qualifications
  • Bachelor’s or master’s degree in data science, Computer Science, Statistics, Engineering, or a related field.
  • 4+ years of experience in data science or advanced analytics.
  • Hands‑on experience with Databricks and Apache Spark.
  • Strong programming skills in Python (PySpark, Pandas, NumPy, Scikit-learn).
  • Experience building and deploying ML models in production.
  • Solid understanding of SQL and data modeling.
  • Experience with MLflow, model lifecycle management, and experimentation.

Education: At least a bachelor’s degree (or equivalent experience) in Computer Science, Software/Electronics Engineering, Information Systems, or closely related field is required.

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