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Remote Lead Data Engineer Jobs in Arizona (NOW HIRING)

Senior Manager, Data Engineering

Phoenix, AZ · On-site +1

$140K - $155K/yr

The role is fully remote. Applicants in different states are encouraged to apply. Key Responsibilities Leadership & Team Management - Lead, mentor, and develop a team of data engineers and BI ...

Data Analyst (REMOTE)

Phoenix, AZ · Remote

$115K - $126K/yr

Ensures business data and analysis requirements are met by properly applying data concepts ... Utilizes programming and analytical tools, including open source programs including Python, R and ...

You may lead quality assurance/quality control and act as an advisor on complex projects. You will ... fully remote in various locations of the US. This role includes flexible work options to ...

Showing results 21-40

Remote Lead Data Engineer information

What are the key skills and qualifications needed to thrive as a remote lead data engineer?

To thrive as a Remote Lead Data Engineer, you need advanced expertise in data architecture, ETL processes, and programming languages such as Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with cloud platforms (like AWS, Azure, or GCP), big data frameworks (such as Spark or Hadoop), and relevant certifications are highly valued. Strong leadership, communication, and problem-solving skills help you effectively manage distributed teams and collaborate cross-functionally. These skills ensure robust data solutions, seamless team coordination, and the ability to deliver scalable analytics infrastructure remotely.

How does a remote lead data engineer typically collaborate with cross-functional teams while working remotely?

As a Remote Lead Data Engineer, collaboration with cross-functional teams—such as data scientists, analysts, product managers, and software engineers—is often facilitated through virtual meetings, project management tools, and shared documentation platforms. Effective communication is crucial, as you’ll be responsible for aligning data architecture with business goals and ensuring that stakeholders are regularly updated on project progress. Many organizations use agile methodologies to structure work, which means you’ll participate in regular stand-ups, sprint planning, and reviews with distributed teams. Building strong relationships and maintaining transparency are key to overcoming remote collaboration challenges and driving project success.

What is a remote lead data engineer?

A Remote Lead Data Engineer is a senior-level professional responsible for designing, building, and maintaining large-scale data systems while working remotely. They oversee data engineering teams, establish best practices, and ensure data pipelines are efficient and reliable. This role combines hands-on technical tasks with leadership responsibilities, such as mentoring junior engineers and collaborating with other departments. Remote Lead Data Engineers must be adept at communication and project management to coordinate effectively with distributed teams.
What are the most commonly searched types of Lead Data Engineer jobs in Arizona? The most popular types of Lead Data Engineer jobs in Arizona are:
What are popular job titles related to Remote Lead Data Engineer jobs in Arizona? For Remote Lead Data Engineer jobs in Arizona, the most frequently searched job titles are:
What cities in Arizona are hiring for Remote Lead Data Engineer jobs? Cities in Arizona with the most Remote Lead Data Engineer job openings:
Infographic showing various Remote Lead Data Engineer job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior Data Engineer - Enterprise Data Frameworks (Java Spark Focus)

Citizens

Phoenix, AZ • On-site, Remote

$105K - $158K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 23 days ago


Job description

Senior Java Data Engineer
Enterprise Data Frameworks

Role Summary

The Enterprise Data Frameworks team is seeking a Senior Java focused software engineer who builds and maintains large scale data processing systems using Java, Apache Spark, and Kafka. This role is intended for experienced backend engineers with strong core Java fundamentals who apply traditional software engineering practices to data intensive platforms and distributed systems.

The ideal candidate has hands on experience developing production grade Java applications using modern frameworks and IntelliJ based development workflows, paired with practical experience building Spark based processing pipelines and Kafka driven data ingestion services. In this role, you will contribute to the core components of enterprise data frameworks, working closely with senior engineers and architects while remaining deeply involved in design and implementation.

This role requires strong Java engineering skills, the ability to debug and optimize complex Spark applications, and comfort operating in regulated environments where stability, data quality, and reliability are critical.


Key Responsibilities

Design, build, and maintain Java based data processing pipelines using Apache Spark for batch and streaming workloads
Develop and support Java based backend services and APIs that orchestrate data workflows and framework components
Apply solid object oriented design principles to distributed data processing systems
Optimize Spark applications for performance, reliability, and cost efficiency across cloud and on premises environments
Collaborate with architects and senior engineers on technical design and framework evolution
Partner with frontend and platform teams to integrate backend data services where applicable
Translate business and technical requirements into scalable, well structured engineering solutions
Participate in code reviews, contribute to shared standards, and mentor junior engineers
Ensure solutions align with data governance, security, and change management standards
Participate in Agile ceremonies and support continuous improvement of engineering practices


Required Skills and Experience

7+ years of experience as a software engineer or data engineer with strong emphasis on Java backend development
Strong hands on proficiency in Java, including object oriented design, debugging, and performance optimization
Experience building Spark applications in Java for large scale data ingestion and transformation
Practical experience with Apache Kafka and event driven data architectures
Experience developing Java based services using frameworks such as Spring Boot
Solid understanding of distributed systems concepts and data processing architectures
Familiarity with data lake technologies, columnar storage formats such as Parquet or Iceberg, and metadata driven frameworks
Experience using Git based workflows, CI CD pipelines, and modern development practices
Exposure to cloud environments, with preference for AWS based data platforms such as S3, EMR, Lambda, or API Gateway
Experience working in regulated or enterprise environments with strong data governance requirements


Preferred Experience

Experience collaborating with UI or platform teams to integrate backend data services
Experience with containerization and orchestration tools such as Docker or Kubernetes
Exposure to additional JVM or scripting languages such as Scala or Python in a data context
Experience with developer productivity or automation tooling


Education

Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field


Work Details

Hours per Week 40
Location Hybrid, 4 days on site from a Citizens corporate office, 1 day remote
Schedule Monday through Friday

Pay Transparency

The salary range for this position is $105,000-158,000 per year, plus an opportunity to earn an annual discretionary bonus. Actual pay is based on various factors including but not limited to the work location, and relevant skills and experience.  

We offer competitive pay, comprehensive medical, dental and vision coverage, retirement benefits, maternity/paternity leave, flexible work arrangements, education reimbursement, wellness programs and more. Note, Citizens' paid time off policy exceeds the mandatory, paid sick or paid time-away policy of very local and state jurisdiction in the United States. For an overview of our benefits, visit https://jobs.citizensbank.com/benefits.

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Equal Employment Opportunity

Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague's or a dependent's reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability.

Equal Employment and Opportunity Employer

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Background Check

Any offer of employment is conditioned upon the candidate successfully passing a background check, which may include initial credit, motor vehicle record, public record, prior employment verification, and criminal background checks. Results of the background check are individually reviewed based upon legal requirements imposed by our regulators and with consideration of the nature and gravity of the background history and the job offered. Any offer of employment will include further information.