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Sr Aws Data Engineer Jobs in Indiana (NOW HIRING)

Data Scientist

Indianapolis, IN · On-site

$110 - $170/hr

Access, prepare, and engineer features from data processed through Apache Spark and AWS data services * Partner with business groups to understand pharma-specific problems and translate them into ...

New

Data Engineer

Austin, IN

$135K - $155K/yr

Senior Data Engineer Role Summary: Data Engineering is a key role in the development team and is ... dbt, and AWS architecture * Proficiency in Python and modern AI/ML tooling and experience ...

Senior Data Architect

Indianapolis, IN · On-site

$64.25 - $86/hr

AWS Data Architect - Databricks Hybrid - Indianapolis, IN About the Role We are seeking a Data ... This is a senior-flavored engineering role that combines hands-on pipeline and platform work with ...

New

Sr. Data Engineer

Indianapolis, IN · Remote

$101K - $137K/yr

As a Senior Data Engineer, you will be a key technical contributor and operational owner within our ... Cloud experience with Azure and/or AWS. * Comfort working independently across concurrent projects ...

Senior Data Engineer

Indianapolis, IN · Hybrid

$101K - $137K/yr

Senior Data Engineer Senior Data Engineer Hybrid 1: This role requires associates to be in-office1 - 2days per week, fostering collaboration and connectivity, while providing flexibility to support ...

Senior Data Engineer

Indianapolis, IN · On-site

$101K - $137K/yr

Senior Data Engineer Senior Data Engineer Hybrid 1: This role requires associates to be in-office 1 - 2 days per week, fostering collaboration and connectivity, while providing flexibility to support ...

Sr. Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Our team has an immediate opening for a full-time, Sr. Data Engineer. If the idea of working on challenging assignments with a team who is passionate about serving others and creating insights sounds ...

Data Engineer

South Bend, IN · On-site

$112K - $135K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... AWS or GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Data Engineer

Evansville, IN · On-site

$109K - $131K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... AWS or GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Data Engineer

Hammond, IN · On-site

$109K - $130K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... AWS or GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Data Engineer

Terre Haute, IN · On-site

$108K - $130K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... AWS or GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Data Engineer

Fort Wayne, IN · On-site

$105K - $126K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... AWS or GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Data Engineer

Indianapolis, IN · On-site

$100K - $120K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... AWS or GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Data Engineer

Gary, IN · On-site

$113K - $136K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... AWS or GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

At SEP, we're building that foundation - and we're looking for a Senior Data Engineer who's ready ... Experience with cloud data platforms - Azure preferred, AWS experience also valued * Familiarity ...

Showing results 21-40

Sr Aws Data Engineer information

What are the key skills and qualifications needed to thrive as a Sr AWS Data Engineer?

To thrive as a Sr AWS Data Engineer, you need a deep understanding of data modeling, ETL processes, cloud architecture, and proficiency in programming languages like Python or Scala, typically supported by a relevant degree and AWS certifications. Familiarity with AWS services such as Redshift, S3, Glue, Lambda, and orchestration tools like Airflow or Step Functions is crucial. Strong problem-solving, communication, and collaboration skills help you work effectively across teams and manage complex data solutions. These competencies ensure you can design, implement, and optimize scalable data pipelines that support business analytics and decision-making.

How does a Sr AWS Data Engineer typically collaborate with data scientists and other stakeholders on projects?

As a Sr AWS Data Engineer, you’ll regularly partner with data scientists, analysts, and business stakeholders to design and implement scalable data solutions. Your role involves gathering requirements, translating them into technical specifications, and building robust data pipelines using AWS services. Effective communication is essential, as you'll need to ensure data is accessible, reliable, and well-documented so the wider team can derive actionable insights. Frequent cross-functional meetings and agile project management structures are common, fostering collaboration and alignment on project goals.

What does a Sr AWS Data Engineer do?

A Sr AWS Data Engineer is responsible for designing, building, and maintaining data infrastructure on Amazon Web Services (AWS). They create data pipelines, manage data storage solutions, and ensure that large volumes of data are processed efficiently and securely. Their role often involves working with services like AWS Glue, Redshift, S3, and Lambda, and collaborating with data scientists, analysts, and other engineers to support business intelligence and analytics needs. Senior engineers also mentor junior staff and help define best practices for data engineering in the cloud.

What is the difference between Sr Aws Data Engineer vs Data Engineer?

AspectSr Aws Data EngineerData Engineer
Required CertificationsAWS certifications (e.g., AWS Certified Data Analytics)Often similar, but less emphasis on certifications
Work EnvironmentCloud-based data solutions on AWS platformOn-premises, cloud, or hybrid environments
ResponsibilitiesDesigning scalable data pipelines, optimizing AWS servicesBuilding and maintaining data pipelines, data modeling
Experience LevelAdvanced, with cloud-specific expertiseEntry to mid-level, broader data skills

The main difference between a Sr Aws Data Engineer and a Data Engineer lies in cloud specialization. The Sr Aws Data Engineer focuses on AWS cloud services and advanced cloud-based data solutions, while a Data Engineer may work across various environments with broader data management skills.

What cities in Indiana are hiring for Sr Aws Data Engineer jobs? Cities in Indiana with the most Sr Aws Data Engineer job openings:
Infographic showing various Sr Aws Data Engineer job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Data Scientist

Socket.dev

Indianapolis, IN • On-site

$110 - $170/hr

Other

Posted 2 days ago

New


Job description

Data Scientist

Hybrid – Indianapolis, IN

About the Role

We are seeking a Data Scientist with 3-5 years of experience working specifically within the pharma industry to join a pharma-focused data team. This role combines applied statistical/ML modeling with strong data engineering fluency, working against large-scale data housed in Databricks and AWS. You will partner with business groups to frame problems, build models and analyses that answer them, and communicate results in terms that drive pharma business decisions.

Key Responsibilities
  • Develop statistical models, machine learning models, and advanced analyses using large-scale datasets in Databricks
  • Access, prepare, and engineer features from data processed through Apache Spark and AWS data services
  • Partner with business groups to understand pharma-specific problems and translate them into data science approaches
  • Build and validate ETL/data pipelines as needed to support modeling and experimentation workflows
  • Communicate modeling results, insights, and recommendations clearly to both technical and non-technical business stakeholders
  • Apply pharma domain knowledge to ensure models and analyses are relevant and interpretable in a business context
  • Collaborate with data engineers and analysts to productionize models and integrate outputs into reporting/decision workflows
  • Monitor model performance over time and iterate as needed
Requirements Required Qualifications
  • 3-5 years of data science / applied statistics / machine learning experience specifically within the pharma industry
  • Hands‑on experience with Databricks for data science/ML workflows
  • Working knowledge of AWS data services
  • Strong experience with Big Data processing using Apache Spark, PySpark.
  • Experience building ETL pipelines to support data science workflows
  • Strong Python and SQL skills; experience with ML libraries
  • Demonstrated ability to understand pharma business needs and speak to pharma business groups
  • Strong communication skills with demonstrated ability to present technical findings to business stakeholders
  • Bachelor's or master's degree in data science, Statistics, Computer Science, or a related quantitative field
Preferred Qualifications
  • Experience with Delta Lake, Snowflake, or similar modern data platforms
  • Familiarity with MLOps practices and model deployment/monitoring
  • Prior experience supporting pharma commercial, clinical, or R&D data science functions
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