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Remote Databricks Data Engineer Jobs in Indiana (NOW HIRING)

As a member of the Data Platform Engineering team, you own the core Data warehouse platform, data ... Excellent communication skills, with the ability to collaborate across multiple remote teams, share ...

As a member of the Data Platform Engineering team, you own the core Data warehouse platform, data ... Excellent communication skills, with the ability to collaborate across multiple remote teams, share ...

United States (Remote) Interested applicants must reside in one of the following approved states ... You'll collaborate with engineering, analytics, governance, and business teams to drive adoption ...

$60 - $90/hr

Data Analysis / Analytics Expert Hourly Contract Remote Compensation: $60$90 per hour Overview We ... Collaborate remotely with engineers, researchers, and business teams. Ideal Qualifications * Degree ...

UI/UX SME

Crane, IN ยท On-site +1

$185K/yr

... fully remote , and any required travel would be reimbursed by the government . The ideal candidate is a highly collaborative UX/UI professional who can work closely with data engineers, systems ...

Senior Data Analyst

Indianapolis, IN ยท On-site +1

$82K - $103K/yr

Our clients span the public and private sectors, and our work -- from data strategy and engineering ... with company's remote work policy. * Domestic travel required less than 2% of the time.

Senior Data Analyst

Indianapolis, IN ยท On-site +1

$82K - $103K/yr

Our clients span the public and private sectors, and our work - from data strategy and engineering ... with company's remote work policy. * Domestic travel required less than 2% of the time.

Configure and manage map services and data publishing workflows to ensure timely and accurate data ... Demonstrated experience with at least one major programming language (e.g., C++, Python, Java, C#)

Configure and manage map services and data publishing workflows to ensure timely and accurate data ... Demonstrated experience with at least one major programming language (e.g., C++, Python, Java, C#)

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Partner with data engineers on Snowflake backed retrieval patterns (Cortex Analyst and Cortex ...

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Analyze data and interpret results to inform AI training datasets with precision * Apply ...

$40/hr

Remote Openings: 20 Compensation: $40 $85 per hour Role Overview As a Senior Software Engineer, you ... Deep knowledge of algorithms, data structures, and performance tuning . * Demonstrated expertise in ...

Cyber Data Protection Manager

Indianapolis, IN ยท Remote

$106K - $143K/yr

Bachelor's degree in Cybersecurity, Information Security, Engineering, Computer Science ... M365 security, Databricks, Snowflake) * 3+ years of professional experience developing data ...

Cobol/IDMS Developer (Remote)

Indianapolis, IN ยท Remote

$48 - $65/hr

This will be a 100% remote Contract-to-Hire position. * Must be a US Citizen. * SELECTED CANDIDATES ... data processing systems for product and commercial software. * Determine computer user needs ...

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Remote Databricks Data Engineer information

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

To thrive as a Remote Databricks Data Engineer, you need a solid background in data engineering, strong programming skills in Python or Scala, and experience with big data frameworks, often supported by a degree in computer science or a related field. Proficiency with Databricks, Apache Spark, cloud platforms (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly valuable. Strong problem-solving abilities, effective remote communication, and collaboration skills set top performers apart in distributed teams. These skills and qualities ensure efficient data pipeline development, seamless integration, and successful project delivery in remote environments.

What is a Remote Databricks Data Engineer?

A Remote Databricks Data Engineer is a professional who designs, develops, and manages large-scale data processing systems using the Databricks platform, often working from a remote location. They focus on building data pipelines, integrating data sources, and optimizing workflows for analytics and machine learning, leveraging tools like Apache Spark within Databricks. These engineers collaborate with data scientists, analysts, and other stakeholders to ensure data is accessible, reliable, and scalable for business needs. Remote roles offer flexibility in work location while still requiring strong communication and technical skills.

What are some common challenges faced by remote Databricks Data Engineers and how can they be addressed?

Remote Databricks Data Engineers often encounter challenges such as coordinating efficiently with distributed teams, managing access to secure data environments, and ensuring smooth pipeline deployments across different cloud platforms. To overcome these, it's important to leverage communication tools for regular check-ins, follow strict data governance protocols, and utilize collaborative features in Databricks such as shared notebooks and version control. Proactively documenting your work and staying updated with platform updates can also help streamline remote collaboration and problem-solving.
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:
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Staff Software Engineer, Data Platform

Staff Software Engineer, Data Platform

Circle

Miami, IN โ€ข On-site, Remote

Full-time

Re-posted 5 days ago


Job description

Circle (NYSE: CRCL) is one of the world's leading internet financial platform companies, building the foundation of a more open, global economy through digital assets, payment applications, and programmable blockchain infrastructure. Circle's platform includes the world's largest regulated stablecoin network anchored by USDC, Circle Payments Network for global money movement, and Arc, an enterprise-grade blockchain designed to become the Economic OS for the internet. Enterprises, financial institutions, and developers use Circle to power trusted, internet-scale financial innovation. Learn more at circle.com.

What you'll be part of:

Circle is committed to visibility and stability in everything we do. As we grow as an organization, we're expanding into some of the world's strongest jurisdictions. Speed and efficiency are motivators for our success and our employees live by our company values: High Integrity, Future Forward, Multistakeholder, Mindful, and Driven by Excellence. We have built a flexible work environment where new ideas are encouraged and everyone is a stakeholder.

Here is our team hierarchy for individual contributors:

Senior Software Engineer (III)

Staff Software Engineer (IV)

Your team is responsible for:

As a member of the Data Platform Engineering team, you own the core Data warehouse platform, data ingestion and processing, ETL/ELT pipelines orchestration platform, data cataloging, data governance. These components power our Product, Engineering, Analytics, and Data Science teams by enabling experimentation, operational excellence, and actionable insights to accelerate business growth.

You'll work on:

  • Design, build, and operate data platform services (warehousing, orchestration, and catalogs). Continuously enhance platform operations by improving monitoring, performance, reliability, and resource optimization.

  • Design, build and maintain batch and streaming data ingestion framework to source the required data for analytical and operational needs, which include onchain data, internal system data, and partner data.

  • Be a domain expert in streaming processing, data pipelines, data warehousing and quality. Work closely across multiple stakeholders-including Product, Engineering, Data Science, Security and Compliance teams-on data contract modeling, data lifecycle management, governance and regulatory/legal compliance.

  • Provide ML data platform capabilities for AI/Data Science teams to perform data preparation, model preparation and serving, and performance monitoring.

  • Develop and maintain core services and libraries to enhance critical platform functionalities, such as cataloging data assets and lineage, tracking data versioning and quality, managing auto-backfilling, implementing access controls on data assets.

You'll bring to Circle:

Senior Software Engineer (III):

  • 4+ years of software engineering experience building data-intensive systems

  • Hands-on experience designing and operating scalable batch, micro-batch, or streaming data pipelines

  • Experience in business domains such as payment systems, credit cards, bank transfers, or blockchains.

  • Familiarity with data governance, lineage, and provenance concepts

  • Strong understanding of open-source data technologies and cloud-native data platforms

  • Ability to tackle complex and ambiguous problems.

  • Self-starter who takes ownership and enjoys moving at a fast pace.

  • Excellent communication skills, with the ability to collaborate across multiple remote teams, share ideas and present concepts effectively.

Nice to have:

  • Experience with with streaming frameworks such as Apache Flink or Google Cloud Dataflow

  • Experience with NoSQL databases such as Bigtable, Cassandra

Staff Software Engineer (IV):

Includes all the requirements of a Senior Software Engineer, and:

  • 7+ years in software engineering experience for large-scale and complex data systems

  • Proven technical leadership in architecture and system design, influencing designs across multiple teams

  • Deep expertise in one or more of: streaming systems, data warehousing, data modeling, or large-scale ingestion platforms

  • Ability to identify high-impact technical opportunities independently and drive them from concept to production

  • Strong experience in:

    • Data platforms integrated with downstream consumers, tools, and services

    • Data quality, validation, and observability mechanisms across pipelines

  • Comfortable making and defending long-term architectural tradeoffs in ambiguous environments

Nice to have:

  • Hands-on Experience taking an operational, data-intensive application from initial design to production (01), or scaling and operating it at production scale.

  • Experience developing real-time analytics or near-real-time decisioning systems

Circle is on a mission to create an inclusive financial future, with transparency at our core. We consider a wide variety of elements when crafting our compensation ranges and total compensation packages.

Starting pay is determined by various factors, including but not limited to: relevant experience, skill set, qualifications, and other business and organizational needs. Please note that compensation ranges may differ for candidates in other locations.

Base Pay Range: $195,000-$257,500

We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status, or any other protected status required by the laws in the locations where we hire. Additionally, Circle participates in the E-Verify Program in certain locations, as required by law.

Should you require accommodations or assistance in our interview process because of a disability, please reach out toaccommodations@circle.comfor support. We respect your privacy and will connect with you separately from our interview process to accommodate your needs.

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