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Trainee Databricks Data Engineer Jobs in Indiana

Data Engineer (in person)

Westfield, IN

$109K - $131K/yr

Familiarity with modern data platforms such as Databricks, Snowflake, Microsoft Fabric, or Redshift ... Experience with analytics engineering tools like dbt and data catalog tools (Unity Catalog ...

Data Engineer - Manager

Indianapolis, IN · On-site

$99K - $232K/yr

... Data Engineer - Manager, you will play a pivotal role in transforming raw data into actionable ... Databricks and Snowflake - Guiding team members in data architecture development and database ...

Sr. Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

... Databricks * 5 years of experience developing batch and/or streaming ETL/ELT processes * 5 years of experience with data warehouse or data lake concepts * Proficiency in at least one programming ...

... Engineer - Senior Associate, you will focus on designing and building data infrastructure and ... Databricks Unified Data Analytics Platform for advanced data analytics and visualization ...

Data Engineer Manager

Fort Wayne, IN · On-site

$90K - $140K/yr

... our Engineering and Data Science teams. This role is a Fulltime/Direct Placement position and is ... Databricks, or BigQuery Strong understanding of data governance, data quality, and metadata ...

New

Data Engineer Manager

Fort Wayne, IN · On-site

$90K - $140K/yr

... our Engineering and Data Science teams. This role is a Fulltime/Direct Placement position and is ... Databricks, or BigQuery Strong understanding of data governance, data quality, and metadata ...

New

Familiarity with modern data platforms such as Databricks, Snowflake, Microsoft Fabric, or Redshift ... Experience with analytics engineering tools like dbt and data catalog tools (Unity Catalog ...

Senior Data Engineer (in person)

Westfield, IN · On-site

$101K - $138K/yr

Familiarity with modern data platforms such as Databricks, Snowflake, Microsoft Fabric, or Redshift ... Experience with analytics engineering tools like dbt and data catalog tools (Unity Catalog ...

Familiarity with modern data platforms such as Databricks, Snowflake, Microsoft Fabric, or Redshift ... Experience with analytics engineering tools like dbt and data catalog tools (Unity Catalog ...

Role Summary As a Lead Platform Data Engineer, you will own the data architecture that connects ... g., Snowflake, Databricks, or BigQuery). Mastery of SQL is non-negotiable. * Modern Languages:

Role Summary As a Lead Platform Data Engineer, you will own the data architecture that connects ... g., Snowflake, Databricks, or BigQuery). Mastery of SQL is non-negotiable. * Modern Languages:

Databricks Architect

Indianapolis, IN · On-site

$62 - $81.25/hr

... Data Engineering solutions in Python, PySpark, Databricks Notebooks. 5+ Years of Hands-on Experience in GitHub, Data Pipelines and CI/CD Experience defining data architecture standards, reference ...

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Showing results 1-20

Trainee Databricks Data Engineer information

Is it hard to get hired at Databricks?

Getting hired as a Databricks Data Engineer can be competitive, as it requires strong skills in Spark, cloud platforms, and data pipeline development. Candidates often need relevant experience, technical certifications, and a solid understanding of big data tools to improve their chances.

Does Databricks hire new grads?

Databricks often hires new graduates for entry-level roles such as Trainee Data Engineer positions. These roles typically require familiarity with cloud platforms, data processing tools, and programming languages like Python or SQL. Candidates should review specific job postings for qualification details and preferred skills.

How much do Databricks data engineers make?

Databricks data engineers typically earn between $90,000 and $140,000 annually, depending on experience, location, and skill level. Professionals with expertise in Spark, cloud platforms, and data pipeline development tend to command higher salaries.

What is the difference between Trainee Databricks Data Engineer vs Junior Data Engineer?

AspectTrainee Databricks Data EngineerJunior Data Engineer
Required CredentialsBasic knowledge of Databricks, SQL, and data fundamentalsDegree in Computer Science or related field, some experience with data tools
Work EnvironmentTraining programs, mentorship, entry-level projects on Databricks platformEntry-level to mid-level data teams, real-world data projects
Employer & Industry UsageTech companies, data consulting firms, startups focusing on cloud data platformsVariety of industries including finance, healthcare, retail, with data teams

The Trainee Databricks Data Engineer is an entry-level role focused on learning Databricks and data engineering fundamentals, often within training programs. In contrast, a Junior Data Engineer typically has some hands-on experience and works on real data projects. Both roles are common in tech-driven industries, but the trainee position emphasizes skill development, while the junior role involves more independent work.

Is Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and big data processing. Skills in Apache Spark, cloud environments, and data pipeline development are highly sought after, leading to strong job growth in this field.
What are the most commonly searched types of Databricks Data Engineer jobs in Indiana? The most popular types of Databricks Data Engineer jobs in Indiana are:
What are popular job titles related to Trainee Databricks Data Engineer jobs in Indiana? For Trainee Databricks Data Engineer jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Trainee Databricks Data Engineer jobs in Indiana look for? The top searched job categories for Trainee Databricks Data Engineer jobs in Indiana are:
What cities in Indiana are hiring for Trainee Databricks Data Engineer jobs? Cities in Indiana with the most Trainee Databricks Data Engineer job openings:

Data Engineer (in person)

SEP

Westfield, IN

$109K - $131K/yr

Full-time

Posted 21 days ago


Job description

SEP is looking for a data engineer to join our growing data practice and deliver data solutions for our clients. We've been helping companies build great software products since 1988 in a wide range of industries and technologies, and more and more of these products are powered by data. Our clients want us to apply the same engineering rigor we bring to software development to their data pipelines and data platforms. You'll spend your days building, testing, and shipping data systems that real clients depend on. 
What we have to offer
  • Variety on every axis — tools, technologies, market sectors, methodologies 
  • Flexible, reasonable work schedules 
  • Extensive opportunities to learn and develop yourself 
  • A community of friendly, talented, and effective peers 
  • Opportunities to try out different roles with minimal risk 
  • Gorgeous facilities 
What you'll be doing
  • Build and maintain data pipelines and transformations (batch and streaming) 
  • Implement data models for analytics use cases 
  • Write data quality checks and tests for data pipelines 
  • Configure orchestration and workflow tooling to support delivery 
  • Implement infrastructure as code for data platforms 
  • Investigate and resolve pipeline failures and performance issues 
  • Participate in peer code review and contribute to team documentation 
  • Communicate progress, blockers, and risks to the team and stakeholders 
  • Support client meetings in a technical capacity 
Key attributes for applicants
  • A passion for great products, software development, and learning 
  • Strong SQL skills with working proficiency in Python; experience with Spark, Scala, R, or C# is a plus 
  • Practical experience in data pipeline development, ideally in both batch and streaming patterns 
  • Understanding of data modeling patterns for analytics (dimensional modeling, normalized data models, lakehouse concepts) 
  • Hands-On experience with at least one cloud data platforms (Azure preferred, AWS and GCP experience also valued) 
  • Familiarity with modern data platforms such as Databricks, Snowflake, Microsoft Fabric, or Redshift 
  • Familiarity with orchestration and workflow management (Apache Airflow, Databricks Workflows, Temporal, or similar) 
  • Experience writing tests and data quality checks for pipelines 
  • Exposure to infrastructure as code tooling (Terraform, ARM/Bicep) and CI/CD pipelines (GitHub Actions or similar) is a plus 
  • Experience with analytics engineering tools like dbt and data catalog tools (Unity Catalog, Microsoft Purview) is a plus 
  • Applies software engineering best practices to data engineering (source control, automated testing, code review, CI/CD) 
  • Comfortable with ambiguity; can clarify requirements through conversation 
  • Interest in mentoring and developing less experienced engineers 
  • Professional data engineering experience (2+ years desired) 
  • Must be legally authorized to work in the United States 
  • Must not require visa sponsorship or have work authorization based on OPT or CPT 
  • Must be able to work from our office in Westfield, IN without relocation financial assistance 
SEP is a software product design and development company located in Westfield, IN. We provide powerful teams of thoughtful developers and designers to bring ideas to life. Founded in 1988, SEP is one of Indiana’s largest software development firms with 180 employees. Our clients span from Fortune 100 to scale-up companies. We are 100% employee-owned through an ESOP and are consistently recognized for our great culture (Top Workplaces, Best Place to Work in Indiana, Techpoint Mira Exceptional Employer).

We are an equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities

About SEP

Sourced by ZipRecruiter

Industry

Software development

Company size

51 - 200 Employees

Headquarters location

Carmel, IN, US

Year founded

1988