Data Engineer II
$114K - $137K/yr
You will work with modern data technologies including Databricks, Apache Spark, Delta Lake, Python ... This position is ideal for an engineer who enjoys solving complex data challenges, building ...
Data Engineer II
$114K - $137K/yr
You will work with modern data technologies including Databricks, Apache Spark, Delta Lake, Python ... This position is ideal for an engineer who enjoys solving complex data challenges, building ...
Data Engineer II
Reno, NV · On-site
$114K - $137K/yr
You will work with modern data technologies including Databricks, Apache Spark, Delta Lake, Python ... This position is ideal for an engineer who enjoys solving complex data challenges, building ...
Data Engineer II
Reno, NV · On-site
$114K - $137K/yr
You will work with modern data technologies including Databricks, Apache Spark, Delta Lake, Python ... This position is ideal for an engineer who enjoys solving complex data challenges, building ...
Collaborate with cross-functional teams such as IT and engineering to integrate data from various ... Experience working within data platforms like Databricks/Snowflake, and analytics modeling ...
Collaborate with cross-functional teams such as IT and engineering to integrate data from various ... Experience working within data platforms like Databricks/Snowflake, and analytics modeling ...
Collaborate with cross-functional teams such as IT and engineering to integrate data from various ... Experience working within data platforms like Databricks/Snowflake, and analytics modeling ...
Collaborate with cross-functional teams such as IT and engineering to integrate data from various ... Experience working within data platforms like Databricks/Snowflake, and analytics modeling ...
Marketing Operations Analyst
Sparks, NV · On-site
Collaborate with cross-functional teams such as IT and engineering to integrate data from various ... Experience working within data platforms like Databricks/Snowflake, and analytics modeling ...
Marketing Operations Analyst
Sparks, NV · On-site
Collaborate with cross-functional teams such as IT and engineering to integrate data from various ... Experience working within data platforms like Databricks/Snowflake, and analytics modeling ...
Collaborate with cross-functional teams such as IT and engineering to integrate data from various ... Experience working within data platforms like Databricks/Snowflake, and analytics modeling ...
Collaborate with cross-functional teams such as IT and engineering to integrate data from various ... Experience working within data platforms like Databricks/Snowflake, and analytics modeling ...
Databricks Engineer information
See Reno, NV salary details
$59.3K - $72.3K
14% of jobs
$80.1K is the 25th percentile. Wages below this are outliers.
$72.3K - $85.3K
19% of jobs
$85.3K - $98.3K
12% of jobs
The median wage is $102.8K / yr.
$98.3K - $111.4K
17% of jobs
$111.4K - $124.4K
12% of jobs
$126.6K is the 75th percentile. Wages above this are outliers.
$124.4K - $137.4K
14% of jobs
$137.4K - $150.4K
7% of jobs
$150.4K - $163.4K
3% of jobs
$163.4K - $176.4K
0% of jobs
$176.4K - $189.4K
1% of jobs
$189.4K - $202.4K
2% of jobs
$59.3K
$111.3K
$202.4K
How much do databricks engineer jobs pay per year?
As of Aug 7, 2026, the average yearly pay for databricks engineer in Reno, NV is $111,304.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,300.00 and $132,100.00 per year, depending on experience, location, and employer.
What are some common challenges faced by Databricks engineers when working with large-scale data pipelines?
Databricks Engineers often encounter challenges related to optimizing the performance and reliability of large-scale data pipelines. These can include efficiently managing cluster resources, handling data partitioning to prevent bottlenecks, and troubleshooting job failures due to resource constraints or data quality issues. Collaboration with data scientists, analysts, and DevOps teams is essential to ensure seamless integration and deployment of production workflows. Staying current with evolving Databricks features and best practices also plays a key role in overcoming these challenges.
How much does a Databricks engineer make?
A Databricks engineer's salary typically ranges from $100,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, or data architecture can earn higher compensation, often exceeding $160,000 per year.
What is a Databricks engineer?
A Databricks Engineer is a data engineering professional who specializes in using the Databricks platform to build, manage, and optimize data pipelines and analytics solutions. They work with big data technologies like Apache Spark, Delta Lake, and cloud services to process and analyze large datasets efficiently. Their role often involves developing ETL (extract, transform, load) workflows, setting up data lakes, and ensuring data quality and performance for business intelligence and machine learning applications.
What are the key skills and qualifications needed to thrive as a Databricks engineer?
To thrive as a Databricks Engineer, you need strong expertise in big data processing, cloud platforms (like AWS or Azure), and proficiency with languages such as Python, SQL, and Scala, often supported by a degree in computer science or a related field. Familiarity with Apache Spark, Databricks Workspace, version control systems like Git, and relevant Databricks certifications are typically required. Strong analytical thinking, collaboration, and effective communication skills help you understand business needs and work seamlessly with data teams. These skills ensure efficient data pipeline development, scalable analytics solutions, and successful integration of Databricks into organizational workflows.
Is a Databricks engineer in demand?
Databricks engineers are in high demand due to the growing adoption of cloud-based data analytics and machine learning platforms. They typically require skills in Spark, SQL, and cloud environments, and their roles are often available across various industries seeking data-driven solutions.
What are popular job titles related to Databricks Engineer jobs in Reno, NV? For Databricks Engineer jobs in Reno, NV, the most frequently searched job titles are:
What job categories do people searching Databricks Engineer jobs in Reno, NV look for? The top searched job categories for Databricks Engineer jobs in Reno, NV are:
$114K - $137K/yr
Other
Medical, Dental, Vision, Life, Retirement, PTO
Posted 29 days ago
IGT rating
7.5
Based on 51 frontline employees who took The Breakroom Quiz
265th of 487 rated machine equipment manufacturers
Job description
IGT, where innovation meets entertainment on a global scale! From the casino floor to your mobile screen, we deliver thrilling, responsible, and unforgettable gaming experiences-powered by worldclass content, strong technical and commercial capabilities and nurtured by a culture of collaboration, accountability, and ownership.
Whether it's spinning reels, placing bets, or enabling secure payments, we turn innovation into impact through disciplined execution and longterm value creation. With a team of over 6,000 employees across 30+ countries and products delivered in more than 100 jurisdictions worldwide, we operate at scale while staying closely connected to costumers we serve. If you're ready to bring your talent to a team shaping the future of entertainment, your next big move starts here - www.igt.com.
About the Role
We are seeking a Data Engineer II to join our Global Data Platform & Engineering team. In this role, you will help build and maintain scalable, cloud-native data solutions that power enterprise analytics, reporting, and emerging AI initiatives.
You will work with modern data technologies including Databricks, Apache Spark, Delta Lake, Python, SQL, and AWS to develop reliable data pipelines and curated datasets. Working closely with business stakeholders, analytics teams, and fellow engineers, you'll transform business requirements into high-quality, production-ready data solutions.
This position is ideal for an engineer who enjoys solving complex data challenges, building scalable solutions, and continuously learning new technologies.
What You'll Do
- Design, develop, and maintain scalable ELT/ETL pipelines using Databricks, Apache Spark, SQL, and Python.
- Build and maintain reliable, high-quality datasets that support enterprise analytics, operational reporting, and AI use cases.
- Develop data transformations using Delta Lake and Lakehouse architecture best practices.
- Integrate data from enterprise applications, APIs, databases, files, and other internal and external sources.
- Collaborate with business stakeholders, analysts, and product teams to understand data requirements and deliver scalable solutions.
- Monitor, troubleshoot, and optimize production data pipelines for reliability, scalability, and performance.
- Participate in migrating and modernizing legacy data processes to cloud-native architectures.
- Improve data quality through validation, testing, monitoring, and automation.
- Contribute to engineering best practices through code reviews, documentation, and knowledge sharing.
- Support continuous improvement of the enterprise data platform by identifying opportunities for automation, optimization, and simplification.
Required Qualifications
- Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience.
- 3+ years of experience in Data Engineering or a related technical role.
- Strong SQL development skills.
- Strong Python programming experience.
- Experience building data pipelines using Apache Spark and Databricks (or similar distributed data processing platforms).
- Experience developing modern ETL/ELT pipelines.
- Understanding of data modeling and data warehousing concepts.
- Experience working with cloud-based data platforms, preferably AWS.
- Familiarity with Delta Lake or similar modern data storage technologies.
- Experience using Git and collaborative software development practices.
- Strong analytical, troubleshooting, and problem-solving skills.
- Excellent communication and collaboration skills.
Preferred Qualifications
- Experience with AWS data services such as Amazon S3, Lambda, or related technologies.
- Experience working with Databricks on AWS.
- Experience with Delta Lake and Medallion/Lakehouse architecture.
- Experience with orchestration tools such as Databricks Workflows, Apache Airflow, or similar workflow orchestration platforms.
- Experience consuming and developing REST APIs.
- Experience working with semi-structured data, including JSON and Excel-based data ingestion.
- Familiarity with CI/CD practices for data engineering.
- Exposure to AI/ML workflows or data preparation for machine learning and generative AI applications.
- Experience working in gaming, hospitality, financial services, or other data-intensive industries.
Technical Environment
You'll work with technologies including:
- Databricks (AWS)
- Apache Spark
- Delta Lake
- Python
- SQL
- Amazon S3
- Git
- REST APIs
- CI/CD pipelines
What Makes You Successful
- You enjoy solving complex technical problems and continuously improving existing solutions.
- You can work independently while collaborating effectively with cross-functional teams.
- You write clean, maintainable, and well-tested code.
- You take ownership of your work from development through production support.
- You have a growth mindset and enjoy learning new technologies.
- You communicate technical concepts clearly with both technical and non-technical audiences.
#LI-CK1
IGT is committed to sustaining a workforce that reflects the diversity of the global customers and communities we serve and to fostering an inclusive environment where all employees feel valued, respected, and engaged. IGT is an equal opportunity employer and provides equal employment opportunities without regard to race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, veteran status, genetic information, or any other characteristic protected by applicable law. We thank all applicants for their for applying; however, only those selected to interview will be contacted.
At IGT, we consider a wide range of factors in determining compensation, including skills, experience, education, and geographic location. These factors may result in variation in starting pay. The estimated compensation for this role is up to $104,000 USD, based on a good-faith assessment at the time of posting. Actual compensation may vary. IGT complies with all applicable pay transparency and compensation laws and collective bargaining agreements, where applicable.
Base pay is one component of IGT's total rewards program. Depending on the role, employees may be eligible for bonus or commission opportunities. IGT also offers a comprehensive benefits package, which may include a 401(k) savings plan with company contributions, medical, dental, and vision insurance, life and disability coverage, paid time off, tuition reimbursement, and other wellness programs, subject to eligibility requirements.
IGT is the global leader in gaming. For more information, please visit www.igt.com.
About IGT
Sourced by ZipRecruiter
IGTis a global leader in gaming. We deliver entertaining and responsible gaming experiences for players across all channels and regulated segments, from Lotteries and Gaming Machines to Sports Betting and Digital. Leveraging a wealth of compelling content, substantial investment in innovation, player insights, operational expertise, and leading-edge technology, our solutions deliver unrivaled gaming experiences that engage players and drive growth. We have a well-established local presence and relationships with governments and regulators in more than 100 countries around the world, and create value by adhering to the highest standards of service, integrity, and responsibility.
Industry
Manufacturing
Company size
10,000+ Employees
Headquarters location
London, Greater London, GB