Calling all innovators find your future at Fiserv. Were Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, were involved. If you want to make an impact on a global scale, come make a difference at Fiserv. Job Title Data Engineer What does a successful Data Engineer do at Fiserv? The Data Engineer at Fiserv is responsible for implementing and managing the operational aspects of cloud-native and hybrid data platform solutions built with Azure Databricks. They ensure the efficient and effective functioning of the Azure Databricks environment, including monitoring and troubleshooting data pipelines, managing data storage and access, and optimizing performance. They work closely with data engineers, data scientists, and other stakeholders to understand data requirements, design solutions, and implement data integration and transformation processes. What you will do: Provide expertise and ownership of Azure Databricks development tasks within the scrum team. Interact effectively with clients and leadership, and can adapt communication for the appropriate audience. Read and comprehend software requirements, assisting with development of agile user stores and tasks. Assist with troubleshooting configuration and performance issues. Assist with Azure Databricks deployments, testing, configuration, and installation. Ensure security is a priority and understands the various areas where security vulnerabilities arise with database technologies. Ensure database resiliency, and disaster recovery capabilities. What you will need to have: 5 years proven experience working with Azure Databricks Analytics database capabilities, specifically Azure Databricks and other relational database technologies supported in Azure. 5 years proven experience with Azure Data Lake Storage Gen 2, Azure Databricks, Azure Data Explorer, Azure Event Hubs, Spark Pools, Python, PySpark, SQL, Azure Landing Zone, Azure Networking Services, Microsoft EntraID. 5 years proven experience with Azure geo-redundancy, HA/failover technologies. 5 years proven experience designing and implementing data pipelines using Azure Databricks for data cleaning, transformation, and loading into Data Lakehouse. 5 years proven experience with Infrastructure as Code (IaC) tools such as Terraform. 5 years proven experience with programming languages such as Python, PySpark and data constructs such as JSON or XML. What would be great to have: Experience in large scale cloud data migrations using Databricks, Python, Spark, SQL. Understanding of Azure DevOps tools in an Azure production setting. Experience with Azure Data Studio, Visual Studio database management/projects/design capabilities, Azure CLI, and Powershell. Salary Range $114,000.00 - $195,400.00 These pay ranges apply to employees in Colorado, Hawaii, Nevada, Rhode Island and Washington. Pay ranges for employees in other states may differ. Certain Positions are Commissions eligible. Thank you for considering employment with Fiserv. Please: Apply using your legal name Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable). What you should know about us: Fiserv is a global leader in payments and financial technology with more than 40,000 associates proudly serving clients in more than 100 countries. As one of Fortune magazine's "World's Most Admired Companies" 9 of the last 10 years, one of Fast Companys Most Innovative Companies, and a top scorer on Bloombergs Gender-Equality Index, we are committed to innovation and excellence. Our commitment to Diversity and Inclusion: Fiserv is an Equal Opportunity Employer, and we welcome and encourage diversity in our workforce that reflects our world. All qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Warning about fake job posts: Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate business email address. We will not hire through text message, social media, or email alone, and any interviews will be conducted in person or through a secure video call. We wont ask you for sensitive information nor will we ask you to pay anything during the hiring process. We also wont send you a check to cash on Fiservs behalf. If you see suspicious activity or believe that you have been the victim of a job posting scam, you should report it to your local FBI field office or to the FBIs Internet Crime Complaint Center.

Calling all innovators find your future at Fiserv. Were Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, were involved. If you want to make an impact on a global scale, come make a difference at Fiserv. Job Title Data Engineer What does a successful Data Engineer do at Fiserv? The Data Engineer at Fiserv is responsible for implementing and managing the operational aspects of cloud-native and hybrid data platform solutions built with Azure Databricks. They ensure the efficient and effective functioning of the Azure Databricks environment, including monitoring and troubleshooting data pipelines, managing data storage and access, and optimizing performance. They work closely with data engineers, data scientists, and other stakeholders to understand data requirements, design solutions, and implement data integration and transformation processes. What you will do: Provide expertise and ownership of Azure Databricks development tasks within the scrum team. Interact effectively with clients and leadership, and can adapt communication for the appropriate audience. Read and comprehend software requirements, assisting with development of agile user stores and tasks. Assist with troubleshooting configuration and performance issues. Assist with Azure Databricks deployments, testing, configuration, and installation. Ensure security is a priority and understands the various areas where security vulnerabilities arise with database technologies. Ensure database resiliency, and disaster recovery capabilities. What you will need to have: 5 years proven experience working with Azure Databricks Analytics database capabilities, specifically Azure Databricks and other relational database technologies supported in Azure. 5 years proven experience with Azure Data Lake Storage Gen 2, Azure Databricks, Azure Data Explorer, Azure Event Hubs, Spark Pools, Python, PySpark, SQL, Azure Landing Zone, Azure Networking Services, Microsoft EntraID. 5 years proven experience with Azure geo-redundancy, HA/failover technologies. 5 years proven experience designing and implementing data pipelines using Azure Databricks for data cleaning, transformation, and loading into Data Lakehouse. 5 years proven experience with Infrastructure as Code (IaC) tools such as Terraform. 5 years proven experience with programming languages such as Python, PySpark and data constructs such as JSON or XML. What would be great to have: Experience in large scale cloud data migrations using Databricks, Python, Spark, SQL. Understanding of Azure DevOps tools in an Azure production setting. Experience with Azure Data Studio, Visual Studio database management/projects/design capabilities, Azure CLI, and Powershell. Salary Range $114,000.00 - $195,400.00 These pay ranges apply to employees in Colorado, Hawaii, Nevada, Rhode Island and Washington. Pay ranges for employees in other states may differ. Certain Positions are Commissions eligible. Thank you for considering employment with Fiserv. Please: Apply using your legal name Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable). What you should know about us: Fiserv is a global leader in payments and financial technology with more than 40,000 associates proudly serving clients in more than 100 countries. As one of Fortune magazine's "World's Most Admired Companies" 9 of the last 10 years, one of Fast Companys Most Innovative Companies, and a top scorer on Bloombergs Gender-Equality Index, we are committed to innovation and excellence. Our commitment to Diversity and Inclusion: Fiserv is an Equal Opportunity Employer, and we welcome and encourage diversity in our workforce that reflects our world. All qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Warning about fake job posts: Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate business email address. We will not hire through text message, social media, or email alone, and any interviews will be conducted in person or through a secure video call. We wont ask you for sensitive information nor will we ask you to pay anything during the hiring process. We also wont send you a check to cash on Fiservs behalf. If you see suspicious activity or believe that you have been the victim of a job posting scam, you should report it to your local FBI field office or to the FBIs Internet Crime Complaint Center.

Senior Data Engineer-Snowflake (Data Warehousing) Description At Moss Adams, we champion authenticity. For us, that means fostering a culture of talented people who careabout you, about our clients, and about our communities. Here, youll work towards our mission of empowering others to embrace opportunity, growing as a leader along the way. Our firms size, middle-market clients, customized career paths, and supportive culture make this a reality. Join a values-driven firm where youll have fun while solving complex and interesting business challenges. Introduction to the Team: The Senior Data Engineer on the Data Platform Team is primarily responsible for the development, testing and maintenance of the firm's analytical data assets to support DW/BI applications, workflows, reporting, integrations and other solutions. This role collaborates with data scientists, report writers, product group customers, stakeholders and other IT resources to define business needs and build scalable data processing pipelines. This individual is expected to provide solution design leadership, as well as mentor junior engineers and team members. Expertise in SQL and Python, solid experience and understanding on Snowflake data cloud and Azure data assets, and a strong understanding of data integration, data warehousing and dimensional modeling are required. Experience with SQL Server 2019 is desired to support migration from on-prem SQL Server to Snowflake. Strong analytical skills as well as good customer service is preferred. Individuals who thrive at Moss Adams exhibit the following success skills Collaboration, Critical Thinking, Emotional Intelligence, Executive Presence, Growth Mindset, Intellectual Curiosity, and Results Focus. Responsibilities: In collaboration with the data analytics & reporting team, manage and support Azure Machine Learning environment Develop ETL using data factory, SSIS tools Design, construct, and manage the data lake environment including: Data ingestion, staging, data quality monitoring, and business modeling Develop, construct, test and maintain architectures (databases and large-scale processing systems) Design, develop and implement technical solutions in SQL environment (databases, SQL, data marts, integrations) Develop visual reports in Power BI Maintain and develop queries and stored procedures using T-SQL Support data integrations Analyze data and identify gaps, data quality and integrity issues Work in all aspects of development, design, reviews, troubleshooting and post-production issue resolution Follow SDLC and create and maintain required documentation of newly developed and refactored applications Qualifications: Bachelors degree or equivalent experience required; emphasis in Computer Science, Computer Engineering or related field preferred Minimum of 3 years of related experience required; experience in a professional services environment preferred Highly skilled in SQL programming in T-SQL building stored procedures and jobs Strong functional understanding of Azure Machine Learning Ability to manage large volume data integration/ETL; experience with SQL Server Integration Services (SSIS) including ability to configure SQL Server agent Expertise in identifying and mapping data elements across multiple systems Knowledge of Power BI report visualizations, Data Analysis Expressions (DAX), Power Query (M), and Power BI data modeling Hands-on experience in writing DAX queries and custom calculations Strong understanding of data integration, quality and validation Strong understanding of MDM, Data Warehouse/Data mart and relational database design Excellent written and verbal communication skills and able to interact with multiple IT teams and business partners both formally and informally Should possess sound knowledge of SDLC using Azure DevOps Self-motivated with the ability to work both independently and in a team environment Effective time management, ability to multi-task with changing priorities while continuing to provide exceptional client service Ability to travel as needed, approximately 5% Moss Adams is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation, gender identity or any other characteristic protected by law. Moss Adams complies with federal and state disability laws and makes reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact careersmossadams.com. Some local/state regulations require employers to disclose the pay range in job postings. While this is the typical range of pay for the position, actual pay may vary based on internal equity, knowledge, experience, skillset, and geographic location among other factors. Its uncommon for an individual to be hired at the top end of the pay range. This position may be eligible for an annual discretionary bonus. For more information about our benefit offerings and other total rewards, visit our careers page. LI-AC1 Compensation Range (Denver Market ONLY): Compensation range for California: $106,000 -$152,000 Compensation range for Colorado: $99,000 -$127,000 Compensation range for Washington: $99,000 -$133,000 Primary Location Seattle, WA Other Locations Napa, CA, Pasadena, CA, Woodland Hills, CA, San Diego, CA, Bellingham, WA, Denver, CO, Walnut Creek, CA, El Segundo, CA, San Francisco, CA, Everett, WA, Phoenix, AZ, Healdsburg, CA, Tri-Cities, WA, Santa Rosa, CA, Albuquerque, NM, Salinas, CA, Kansas City, KS, Salt Lake City, UT, Spokane, WA, Orange County, CA, Eugene, OR, Tacoma, WA, Wenatchee, WA, Medford, OR, Dallas, TX, Yakima, WA, Stockton, CA, Silicon Valley, CA, Sacramento, CA, Portland, OR, Fresno, CA, Houston, TX Employee Status: Regular Schedule: Full Time Req ID: 27562

Senior Data Engineer Overview: Two Barrels is hiring a Senior Data Engineer for up to $150,000/year. You will be a traditional company employee. This is a full time 40 hour M-F remote position with company benefits. As a Senior Data Engineer at Two Barrels, you will work closely with our Software and Analyst teams to manage everything that has to do with data. This role will help get large datasets into the hands of people that need it while also making sure it doesn't adversely impact other things we have going on in our software ecosystem. There will be a heavy focus on infrastructure, data pipelines and scalable database design - we want someone who can help us improve our current databases and infrastructure and maintain it in a cost-effective manner. This is more than just building and maintaining ETL pipelines. We need innovation, creativity, and solutions that will have a significant impact on how our data is handled and created. Location: Remote | Spokane - Austin - SLC | Duration: Full Time Wage: $150,000/year Responsibilities: <ul> <li>Focus on data infrastructure. Lead and build out data services/platforms from scratch (using OpenSource tech).</li> <li>Creating and maintaining transparent, bulletproof ETL (extract, transform, and load) pipelines that cleans, transforms, and aggregates unorganized and messy data into databases or data sources.</li> <li>Consume data from roughly 40 different sources</li> <li>Collaborate closely with our Data Analysts to get them the data they need.</li> <li>Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.</li> <li>Improve existing data models while implementing new business capabilities and integration points.</li> <li>Creating proactive monitoring so we learn about data breakages or inconsistencies right away.</li> <li>Maintaining internal documentation of how the data is housed and transformed.</li> <li>Improve existing data models, and design new ones to meet the needs of data consumers across Two Barrels.</li> <li>Stay current with latest cloud technologies, patterns, and methodologies; share knowledge by clearly articulating results and ideas to fellow engineers, data analysts, and stakeholders.</li> </ul> Minimum Qualifications: <ul> <li>Bachelor's (BA or BS) in computer science, or related field.</li> <li>2+ years in a full stack development role</li> <li>4+ years of experience working in a data engineer role, or related position.</li> <li>2+ years of experience standing up and maintaining a Redshift warehouse</li> <li>4+ years of experience with Postgres, specifically with RDS.</li> <li>4+ years of AWS experience, specifically S3, Glue, IAM, EC2, DDB, and other related data solutions.</li> <li>Experience working with Redshift, DBT, Snowflake, Apache Airflow, Azure Data Warehouse, or other industry standard big data or ETL related technologies.</li> <li>Experience working with both analytical and transactional databases. </li> <li>Advanced working SQL (Preferably PostgreSQL) knowledge and experience working with relational databases.</li> <li>Experience with Grafana or other monitoring/charting systems.</li> <li>Proven knowledge of data platforms and tangible examples of designing and developing complex data pipelines to support better decision making in the business.</li> <li>Experience hosting and operating data platforms in cost efficient manner.</li> <li>Ability to translate business requirements into non-technical, lay terms.</li> <li>Proven expertise with data architecture design and deployment, data modeling, and database development.</li> </ul> Preferred Qualifications: <ul> <li>Professional experience with Kafka</li> </ul> Why you might like this job: <ul> <li>You are a software engineer that happens to love data, but you still want to code!</li> <li>You are eager to ask questions and find out the "why".</li> <li>You want to be a part of a team making some really cool software.</li> <li>You are driven to creatively approach solutions based on clients needs.</li> <li>You love open source technology and feel passionate about companies and developers who make decisions based on data.</li> <li>You want your work to have a long-term, meaningful purpose.</li> <li>#BI-Remote</li> </ul> Benefits: <ul> <li> Great Wage & Success Meetings with your manager </li> <li> Work From Home comfort package & company provided equipment </li> <li> 22 days paid time off annually, PLUS 4 paid holidays</li> <li> 4% 401k employer matching through Fidelity </li> <li> 100% employer-paid medical, dental and vision for employees </li> <li> Maternity and Paternity Leave </li> <li> Flexible hours </li> <li> Coffee shop next door </li> <li> Crappy parking? Oh, I mean a cool downtown location for easy public transportation options...</li> </ul>

<h2>About Lumen</h2>Lumen connects the world. We are igniting business growth by connecting people, data and applications – quickly, securely, and effortlessly. Together, we are building a culture and company from the people up – committed to teamwork, trust and transparency. People power progress.Lumen’s commitment to workplace inclusion and employee support shines bright. We’ve made the Newsweek 2024 Greatest Workplaces for Diversity list and achieved a perfect score of 100 on the Human Rights Campaign Corporate Equality Index (CEI) for the fifth consecutive year. Plus, we’re the top employer in the communications and telecom industry, ranking 12th overall across all industries in The American Opportunity Index.We’re looking for top-tier talent and offer the flexibility you need to thrive and deliver lasting impact. Join us as we digitally connect the world and shape the future.<h2>The Role</h2>If you're a student eager to explore the exciting world of digital innovation, Lumen is the perfect place for you. Lumen offers a fully immersive, 10-week summer internship program. Our interns demonstrate curiosity, innovation, and a passion for advancing technology. We believe that empowering our people and helping them reach their full potential is essential for the long-term success of both Lumen and our customers.Program dates: May 30 – August 8, 2025.<h2>The Main Responsibilities</h2>Lumen’s Mass Markets organization is looking for a Data Engineer intern on our Applications Engineering team. The intern will be responsible for building machine learning models, developing data pipelines and creating innovating AI applications.Other responsibilities of intern will include:<ul><li>Supporting digital channel for mass markets customers </li><li>Research AI solutions to reduce cost and improve customer experience </li><li>Manage data pipelines</li></ul><h2>What We Look For in a Candidate</h2>Program eligibility is contingent on the candidate’s commitment of the entire 10-week program. No exceptions will be made.Required qualifications<ul><li>Enrolled at a 4-year accredited college or university, rising senior or graduate level education status at the start of the internship </li><li>Graduating August 2025 – May 2027 </li><li>Preferred fields include burt not limited to: – Computer Science, Business Analytics, Data Science, Information Systems. </li><li>Intern must be able to work 40 hours per week during the 10-week program (May 30 – August 8, 2025) </li><li>Proficiency and understanding of: </li><li>MS Office Suite – Excel and PowerPoint </li><li>Python expertise </li><li>Machine Learning frameworks ( TensorFlow, PyTorch, scikit-learn) models </li><li>Python libraries ( NumPy, Pandas, Matplotlib, Seaborn etc…) </li><li>Cloud platforms like GCP </li><li>React.Js </li><li>Node.Js </li></ul>Preferred qualifications<ul><li>Analytical Skills: Ability to analyze and interpret data to provide actionable insights </li><li>Experience with statistical analysis and data visualization tools is a plus. </li><li>Attention to detail and a proactive approach to learning and development. </li><li>Ability to translate technical information into non-technical terms </li><li>Strong problem-solving abilities to identify and resolve issues related to data accuracy, report performance, and user requirements </li><li>Eagerness to learn and adapt to new technologies and methodologies. </li><li>Strong organization skills </li><li>Ability to multitask while working in fast paced environment </li></ul><h2>Compensation</h2>Internship compensation ranges depend on each individual’s level of education, geographic location, and experience/qualifications aligned to the role.Hourly Based Pay Range: 
Min: $26.00/hour 
Max: $43.00/hour<h2>What to Expect Next</h2>After completion and submission of your application, you will be asked to participate in a virtual video interview. This on demand interview will be a way for Lumen to learn more about you and your experience as it aligns to the internship position. A separate email invitation will be sent to you (check your spam) within 6 hours of application. For continued consideration in the summer internship program, please ensure you complete the video interview within 5 business days of application.Application & Interview Timeline:<ul><li>October – First Round Interviews with top, qualified candidates</li><li>November - Interview panel with work team</li><li>December - All Summer 2025 offers will be extended by end of month</li></ul>Requisition #: 335207Background ScreeningIf you are selected for a position, there will be a background screen, which may include checks for criminal records and/or motor vehicle reports and/or drug screening, depending on the position requirements. For more information on these checks, please refer to the Post Offer section of our <a href="https://jobs.lumen.com/global/en/faq">FAQ page</a>. Job-related concerns identified during the background screening may disqualify you from the new position or your current role. Background results will be evaluated on a case-by-case basis. 
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Equal Employment OpportunitiesWe are committed to providing equal employment opportunities to all persons regardless of race, color, ancestry, citizenship, national origin, religion, veteran status, disability, genetic characteristic or information, age, gender, sexual orientation, gender identity, gender expression, marital status, family status, pregnancy, or other legally protected status (collectively, “protected statuses”). We do not tolerate unlawful discrimination in any employment decisions, including recruiting, hiring, compensation, promotion, benefits, discipline, termination, job assignments or training.DisclaimerThe job responsibilities described above indicate the general nature and level of work performed by employees within this classification. It is not intended to include a comprehensive inventory of all duties and responsibilities for this job. Job duties and responsibilities are subject to change based on evolving business needs and conditions.<h4>Salary Range</h4>Salary Min:26Salary Max:43This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience and other relevant factors.This position is eligible for either short-term incentives or sales compensation. Director and VP positions also are eligible for long-term incentive. To learn more about our bonus structure, you can view additional information <a href="https://jobs.lumen.com/global/en/compensation-information">here.</a> We're able to answer any additional questions you may have as you move through the selection process.As part of our comprehensive benefits package, Lumen offers a broad range of Health, Life, Voluntary Lifestyle and other benefits and perks that enhance your physical, mental, emotional and financial wellbeing. You can learn more by clicking <a href="https://centurylinkbenefits.com">here.</a>Please be advised that Lumen does not require any form of payment from job applicants during the recruitment process. All legitimate job openings will be posted on our official website or communicated through official company email addresses. If you encounter any job offers that request payment in exchange for employment at Lumen, they are not for employment with us, but may relate to another company with a similar name.Note: For union-represented postings, wage rates and ranges are governed by applicable collective bargaining agreement provisions.Application Deadline 
10/31/2024

Data Engineer Jobs in Spokane, WA

Big Data Engineer For Ai Training
November 11, 2024

Data Engineer
November 6, 2024

Data Engineer
November 5, 2024

Senior Data Engineersnowflake Data Warehousing
November 5, 2024

Senior Data Engineer
November 2, 2024

Senior Data Engineersnowflake Data Warehousing
November 2, 2024

Intern Data Engineer Summer 2025
October 30, 2024

Quick filters

Top companies

Data Engineer Jobs in Spokane, WA

Big Data Engineer For Ai TrainingNovember 11, 2024

Data EngineerNovember 6, 2024

Data EngineerNovember 5, 2024

Senior Data Engineersnowflake Data WarehousingNovember 5, 2024

Senior Data EngineerNovember 2, 2024

Senior Data Engineersnowflake Data WarehousingNovember 2, 2024

Intern Data Engineer Summer 2025October 30, 2024