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Azure Big Data Engineer Jobs in Addison, TX (NOW HIRING)

Lead Data Engineer

Plano, TX · On-site

$109K - $131K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... big data technologies * At least 1 year experience with cloud computing (AWS, Microsoft Azure ...

Lead Data Engineer

Plano, TX · On-site

$109K - $131K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... big data technologies * At least 1 year experience with cloud computing (AWS, Microsoft Azure ...

GCP Data Engineer

Richardson, TX · On-site

$104K - $124K/yr

GCP Data Engineer Location: Richardson, TX Duration: Long term contract Interview: F2F (Face to ... The ideal candidate will have hands-on expertise with GCP services, ETL/ELT processes, and big data ...

Cloud & DevOps (CI/CD, Docker, Kubernetes, CDP (Cloud) * Big Data Tools (Hive,Impala, HBase ... Azure / AWS / GCP) · Basic understanding of data warehousing concepts Develop and maintain big ...

Azure Data Engineer

Fort Worth, TX · On-site

$109K - $131K/yr

Azure Data Engineer Job Location: Fort Worth, TX (100% Onsite) Job Duration: Long Term Note: Final Round will be in person. Note: Need 12+ years of experience resumes. Key Responsibilities: * Design ...

Data & ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

... Azure cloud services and big data platforms Proficiency in Python, SQL, Scala, and scripting ... engineering solutions end-to-end This position is not available for visa sponsorship or transfer.

Data Engineer

Plano, TX · On-site

$110K - $132K/yr

Strong experience with Big Data technologies and large-scale data environments. * Proficiency in ... AWS, Azure, or Google Cloud Platform . * 3%2B years of experience with pipeline scheduling and ...

Data Engineer

Irving, TX · On-site

$125K - $140K/yr

Data Engineer We are seeking a highly skilled and motivated Data Engineer to play a pivotal role in ... Qualifications: • Big Data Frameworks Expertise: Demonstrated high proficiency in Apache Spark ...

Data & ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

... Azure cloud services and big data platforms Proficiency in Python, SQL, Scala, and scripting ... engineering solutions end-to-end This position is not available for visa sponsorship or transfer.

GCP Data Engineer

Irving, TX · On-site

$109K - $132K/yr

Big data expert with 6+ years experience in Hadoop Big data ecosystem * Spark - Batch & Streaming (Python,Scala ) * Apache Kafka hands on experience * Experience in cloud environment, specially GCP

Data & ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

... Azure cloud services and big data platforms Proficiency in Python, SQL, Scala, and scripting ... engineering solutions end-to-end This position is not available for visa sponsorship or transfer.

Lead Data Engineer

Plano, TX · On-site

$109K - $131K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... big data technologies * At least 1 year experience with cloud computing (AWS, Microsoft Azure ...

Lead Data Engineer

Plano, TX · On-site

$109K - $131K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... big data technologies * At least 1 year experience with cloud computing (AWS, Microsoft Azure ...

Data Engineer

Addison, TX · On-site

$95K - $120K/yr

... big data processing systems like Hadoop, Cloudera, etc. • Experience with Cloud Services echnologies like AWS, Azure, etc. • Experience with one or more of the programming languages like Python ...

Showing results 41-60

Azure Big Data Engineer information

See Addison, TX salary details

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$85

How much do azure big data engineer jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for azure big data engineer in Addison, TX is $60.97, according to ZipRecruiter salary data. Most workers in this role earn between $51.88 and $68.65 per hour, depending on experience, location, and employer.

What does an Azure Big data engineer do?

An Azure Big Data Engineer is responsible for designing, building, and managing big data solutions using Microsoft Azure cloud technologies. They focus on processing large volumes of data, creating data pipelines, and ensuring data is stored and analyzed efficiently. Their work often involves tools such as Azure Data Lake, Azure Databricks, Azure Synapse Analytics, and Azure Data Factory. Azure Big Data Engineers collaborate with data scientists, analysts, and other IT professionals to enable data-driven decision-making within organizations.

What are the key skills and qualifications needed to thrive as an Azure Big data engineer?

To thrive as an Azure Big Data Engineer, you need expertise in data engineering, cloud computing, and programming languages such as Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with Azure Data Services (like Azure Data Lake, Azure Synapse Analytics, and Azure Databricks), as well as certifications like Microsoft Certified: Azure Data Engineer Associate, is highly valuable. Strong analytical thinking, problem-solving, and communication skills help you collaborate effectively with cross-functional teams and translate business needs into technical solutions. These skills and qualities are essential for building scalable, reliable data pipelines that drive business insights and innovation in cloud environments.

What are some common challenges Azure big data engineers face when integrating multiple data sources?

Azure Big Data Engineers often encounter challenges such as ensuring data consistency and quality when integrating disparate data sources like on-premises databases, cloud storage, and third-party APIs. Handling varying data formats and latency issues can also complicate data pipelines. To overcome these challenges, engineers typically use Azure Data Factory for orchestration, implement robust data validation, and collaborate closely with data architects and business analysts to align on integration requirements.
What are popular job titles related to Azure Big Data Engineer jobs in Addison, TX? For Azure Big Data Engineer jobs in Addison, TX, the most frequently searched job titles are:
What job categories do people searching Azure Big Data Engineer jobs in Addison, TX look for? The top searched job categories for Azure Big Data Engineer jobs in Addison, TX are:
What cities near Addison, TX are hiring for Azure Big Data Engineer jobs? Cities near Addison, TX with the most Azure Big Data Engineer job openings:
Infographic showing various Azure Big Data Engineer job openings in Addison, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $126,816 per year, or $61 per hour.

Lead Data Engineer

Capital One

Plano, TX • On-site

$109K - $131K/yr

Full-time

Re-posted 3 days ago


Capital One rating

7.7

Company rating: 7.7 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

93rd of 171 rated banks


Job description

Lead Data Engineer

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Lead Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One.

What You'll Do:

  • Lead design and build Enterprise Level scalable, low-latency, fault-tolerant streaming data platform that provides meaningful and timely insights

  • Build the next generation Distributed Streaming Data Pipelines and Analytics Data Stores using streaming frameworks (Flink, Spark Streaming) using programming languages like Java, Scala, Python

  • Lead a group of engineers building data pipelines using big data technologies (Spark, Flink, Kafka, Snowflake, AWS Big Data Services, Snowflake, Redshift) on medium to large scale datasets

  • Influence best practices for Data Pipeline design, Data architecture and processing of structured and unstructured data.

  • Work in a creative & collaborative environment driven by agile methodologies with focus on CI/CD, Application Resiliency Standards, and partnership with Cyber & Security teams

  • Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community

  • Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies

  • Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems

  • Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment

  • Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance

Basic Qualifications:

  • Bachelor's Degree

  • At least 4 years of experience in application development (Internship experience does not apply)

  • At least 2 years of experience in big data technologies

  • At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

Preferred Qualifications:

  • 7+ years of experience in application development including Java, Python, SQL, or Scala

  • 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)

  • 4+ years experience with Distributed data computing tools (Flink, Kafka, Spark)

  • 4+ year experience working on real-time data and streaming applications

  • 4+ years of experience with NoSQL implementation (DynamoDB, OpenSearch)

  • 4+ years of data warehousing experience (Redshift or Snowflake)

  • 4+ years of experience with UNIX/Linux including basic commands and shell scripting

  • 2+ years of experience with Agile engineering practices

At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Plano, TX: $179,400 - $204,700 for Lead Software Engineer











Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).


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