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Trainee Databricks Data Engineer Jobs in Nebraska

Define guardrails, templates, and platform standards that empower citizen developers while ... Evaluate and guide adoption of modern data platform technologies (e.g., Databricks, Snowflake, dbt ...

... programming skills in Python or R with experience in data analysis libraries and platforms like Databricks for large-scale analytics • Business acumen with proven ability to translate complex ...

Senior Data Architect

Omaha, NE

$64.25 - $86/hr

Experience with Data Lakes, Data Marts, and Warehouses (Azure Synapse, Snowflake, Databricks). * Tooling: Proficiency with modeling tools (Erwin, Embarcadero) and DevOps tools (Git, ADO). * Modern ...

... engineering, or data pipeline development. • Proficient in Python, SQL, and distributed data frameworks (e.g., Spark, Databricks, PySpark) Preferred : • Experience developing ML models from ...

... engineering, or data pipeline development. * Proficient in Python, SQL, and distributed data frameworks (e.g., Spark, Databricks, PySpark Preferred Skills * Experience developing ML models from ...

Amentum is a global leader in advanced engineering and innovative technology solutions, trusted by ... Databricks, Azure Synapse, Microsoft Fabric or on-prem solutions), including RBAC, column/row-level ...

New

Proficiency in data engineering tools and platforms, especially Azure Data Factory and Azure Databricks, Informatica Power Center and IICS,Oracle Data Integrator. Proficiency in Oracle DB, IBM DB2 ...

Collaborate closely with engineering teams on data sourcing, transformations, pipeline optimization ... Exposure to Azure data technologies, including ADF, Synapse Analytics, and Databricks.

Business Intelligence Engineer

Kearney, NE · On-site

$46 - $59.75/hr

The role involves creating and managing data integrations, supporting analytical teams, and ... Azure Cloud Services, MSSQL Databases, Databricks, Python, C#, PowerBI. Company : Buckle operates ...

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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 Nebraska? The most popular types of Databricks Data Engineer jobs in Nebraska are:
What are popular job titles related to Trainee Databricks Data Engineer jobs in Nebraska? For Trainee Databricks Data Engineer jobs in Nebraska, the most frequently searched job titles are:
What job categories do people searching Trainee Databricks Data Engineer jobs in Nebraska look for? The top searched job categories for Trainee Databricks Data Engineer jobs in Nebraska are:
What cities in Nebraska are hiring for Trainee Databricks Data Engineer jobs? Cities in Nebraska with the most Trainee Databricks Data Engineer job openings:
Principal Data Platform Architect

Principal Data Platform Architect

Kiewit Corporation

Papillion, NE • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday


Kiewit Corporation rating

8.0

Company rating: 8.0 out of 10

Based on 133 frontline employees who took The Breakroom Quiz

19th of 78 rated construction


Job description

Requisition ID: 181254
Job Level: Mid Level
Home District/Group: DHO Information Technology Group
Department: Technology Group
Market: Corporate Home Office
Employment Type: Full Time
Position Overview
We are seeking a Principal Data Platform Architect to own the end-to-end technical vision for Kiewit's enterprise data platform. This is a senior individual contributor role spanning cloud infrastructure, data warehousing and analytics, ML/AI and citizen development enablement. This is an opportunity to shape all layers of a modern data stack enabling smarter decisions across estimating, scheduling, procurement, project controls, safety, and equipment management. You will be responsible for setting architecture standards, guiding technology decisions, and partnering with data engineering, data science, citizen developers, data governance and business leadership across estimating, operations, finance, procurement, and other critical business domains.
District Overview
Kiewit Technology Group builds solutions to enable and support our company's expansive operations. Our mission is to deliver project schedule and cost certainty by employing technology designed by and for the construction industry. Our team utilizes systems and tools that manage every part of Kiewit's business and the project lifecycle to improve planning and day-to-day execution in the field. We give our people real-time data to make faster, smarter decisions.
Location
This is a full time in office role located on our LaVista, NE campus. We are not offering relocation for this role.
Responsibilities
• Platform Architecture: Define and own the enterprise data platform architecture across cloud infrastructure, ingestion, storage, transformation, warehousing, and ML/AI/CitDev enablement layers.
• Cloud Infrastructure: Design scalable cloud-native infrastructure on Azure, AWS, or GCP, including managed compute, networking, storage, and orchestration to support diverse data workloads from batch ETL to real-time streaming.
• Data Warehousing & Analytics: Architect the enterprise data warehouse and lakehouse strategy, establishing standards for data modeling, semantic layers, and analytics delivery across business domains.
• ML/AI Platform Enablement: Build the technical foundation for ML/AI workloads: feature stores, ML pipelines, model serving infrastructure, and data contracts that bridge data engineering and data science.
• Agentic AI Frameworks: Define standards for how AI agents interact with Kiewit's data assets, establishing guardrails around data access, auditability, and output validation in agentic workflows.
• Citizen Development: Define guardrails, templates, and platform standards that empower citizen developers while maintaining data quality, security, and consistency across the enterprise.
• Governance & Quality: Establish platform governance including data quality frameworks, lineage tracking, metadata management, access controls, and compliance with enterprise security standards.
• Technology Strategy: Evaluate and guide adoption of modern data platform technologies (e.g., Databricks, Snowflake, dbt, Apache Iceberg, Kafka, Dagster,etc.) aligned to construction-industry needs.
• Technical Leadership: Provide architectural mentorship to senior and mid-level data engineers; influence cross-functional teams and shape engineering culture across the data organization.
• Stakeholder Partnership: Partner with project technology leads and business stakeholders to translate operational challenges into platform capabilities and communicate architectural decisions clearly to executive audiences.
Qualifications
• 10+ years in data engineering, data architecture, or data platform roles with increasing scope and seniority
• Demonstrated experience designing and owning large-scale data platforms spanning infrastructure, warehousing, and analytics
• Deep expertise in at least one major cloud provider (Azure, AWS, or GCP) including data-specific services
• Hands-on proficiency with modern lakehouse and warehouse technologies (e.g., Snowflake, Databricks, Delta Lake, Apache Iceberg)
• Strong proficiency in Python and/or Scala; experience with Spark or distributed compute frameworks
• Experience with data pipeline orchestration tools such as Airflow, Dagster, or Prefect
• Track record of leading architecture decisions and influencing engineering direction across multiple teams
• Excellent written and verbal communication skills; able to translate complex technical concepts for non-technical stakeholders
Preferred
• Familiarity with real-time data ingestion and streaming patterns (Simplement Roundhouse, SNP Glue, Kafka, or Azure Event Hubs)
• Background in data mesh or data product thinking; experience enabling self-service or citizens development data infrastructure
• Exposure to construction, engineering, or capital-project data environments, ERP systems, project controls, field operations data
• Relevant cloud or data certifications (AWS Solutions Architect, Azure Data Engineer, GCP Professional Data Engineer, dbt Analytics Engineer)
Other Requirements:
  • Regular, reliable attendance
  • Work productively and meet deadlines timely
  • Communicate and interact effectively and professionally with supervisors, employees, and others individually or in a team environment.
  • Perform work safely and effectively. Understand and follow oral and written instructions, including warning signs, equipment use, and other policies.
  • Work during normal operating hours to organize and complete work within given deadlines. Work overtime and weekends as required.
  • May work at various different locations and conditions may vary.

We offer our fulltime staff employees a comprehensive benefits package that's among the best in our industry, including top-tier medical, dental and vision plans covering eligible employees and dependents, voluntary wellness and employee assistance programs, life insurance, disability, retirement plans with matching, and generous paid time off.
Equal Opportunity Employer, including disability and protected veteran status.
There's no limit to what you'll do at Kiewit. Whether you're building or supporting projects that provide communities with dependable energy, safe transportation, clean water, or access to health care, the work you do will positively impact people's lives for generations to come.
Here you'll have endless opportunities to expand your expertise through on-the-job experience and internal and external training and development opportunities.
We offer our full-time staff employees a comprehensive benefits package that's among the best in our industry. From top-tier health care programs to employee assistance programs and retirement planning, we aim to provide you with the tools you need to be successful in the areas of life that matter most to you.
Kiewit is an equal-opportunity employer, and we believe a diverse workforce is vital to the success of our business. We continue our efforts to attract, develop and retain employees from all backgrounds who are passionate about our industry.
We are committed to veteran and military hiring and will consider relevant military experience as equivalent to qualification requirements.

What Kiewit Corporation employees say

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About Kiewit

Sourced by ZipRecruiter

Kiewit Infrastructure Engineering's Design-Build team is driving clients to turn to Kiewit during all stages of design-build projects. Through our integrated design and construction approach, our multi-disciplinary team works together to improve schedule, control costs and minimize risk. Our construction-focused engineers work collaboratively with our estimators and builders to design solutions that are innovative, constructible, and designed with a focus on safety. Clients benefit from the proven processes and tools used by Kiewit to minimize project risk. We are an in-house resource that supports projects throughout the company. Our staff shares experiences gained, innovative concepts, and best practices for all projects that we support.

Industry

Construction materials wholesalers

Company size

10,000+ Employees

Headquarters location

Omaha, NE, US

Year founded

1884