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Senior 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 · On-site

$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

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

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

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

Senior Data Engineer (in person)

Westfield, IN · On-site

$101K - $138K/yr

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

Senior Aws Data Engineer information

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

AspectSenior Aws Data EngineerData Engineer
Required CredentialsAWS certifications, SQL, Python, SparkSQL, Python, ETL tools, basic AWS knowledge
Work EnvironmentCloud-based data pipelines, AWS servicesOn-premises or cloud data environments
Employer & Industry UsageTech, finance, healthcare using AWSVarious industries, including startups and enterprises
Common Search & ComparisonOften compared for experience level and AWS expertiseEntry to mid-level data roles

The main difference between a Senior Aws Data Engineer and a Data Engineer lies in experience, AWS-specific skills, and responsibilities. Senior Aws Data Engineers typically have advanced AWS certifications and focus on designing and managing cloud-based data solutions, whereas Data Engineers may work with a broader range of tools and environments. Both roles are essential in data-driven organizations, but the senior role involves more strategic planning and cloud architecture expertise.

What does a Senior AWS Data Engineer do?

A Senior AWS Data Engineer is responsible for designing, developing, and maintaining large-scale data processing systems on Amazon Web Services (AWS). They build data pipelines, manage data storage solutions, and ensure data quality, security, and scalability. These professionals often work closely with data scientists, analysts, and other engineers to support data-driven decision-making within an organization. Their expertise includes tools like AWS Glue, Redshift, S3, and Lambda, as well as programming languages such as Python or Scala.

How does a Senior AWS Data Engineer typically collaborate with cross-functional teams in large-scale projects?

As a Senior AWS Data Engineer, you will regularly collaborate with data scientists, analysts, software engineers, and product managers to design and implement scalable data solutions. You are often responsible for gathering requirements, translating business needs into technical specifications, and ensuring data pipelines meet both performance and compliance standards. Effective communication and proactive problem-solving are key, as you'll be expected to guide junior engineers, participate in architecture discussions, and coordinate releases or updates to data infrastructure.

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

To thrive as a Senior AWS Data Engineer, you need advanced expertise in data engineering, cloud architecture, and programming languages like Python or Scala, typically supported by a bachelor’s degree in computer science or a related field. Proficiency with AWS services such as Redshift, Glue, Lambda, S3, and relevant certifications like AWS Certified Data Analytics are commonly required. Strong problem-solving abilities, collaboration, and effective communication distinguish top performers in this role. These skills are crucial for designing scalable data solutions, ensuring data integrity, and enabling efficient analytics in cloud environments.
What are the most commonly searched types of Aws Data Engineer jobs in Indiana? The most popular types of Aws Data Engineer jobs in Indiana are:
What cities in Indiana are hiring for Senior Aws Data Engineer jobs? Cities in Indiana with the most Senior Aws Data Engineer job openings:

Data Scientist

Socket.dev

Indianapolis, IN • On-site

$110 - $170/hr

Other

Posted 3 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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