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Seasonal Streaming Data Engineer Jobs (NOW HIRING)

Lead Data Engineer

Plano, TX

$109.60K - $131.60K/yr

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 Data Engineer

Plano, TX · On-site

$109.60K - $131.60K/yr

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

... streaming, online video, display, and audio. Our tech fuels billions of transactions per day ... Our traffic has patterns with peak- and off-peak times and seasonal shifts, and our data ...

... streaming, online video, display, and audio. Our tech fuels billions of transactions per day ... Our traffic has patterns with peak- and off-peak times and seasonal shifts, and our data ...

Lead Data Engineer

Plano, TX

$109.60K - $131.60K/yr

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

... streaming, online video, display, and audio. Our tech fuels billions of transactions per day ... Our traffic has patterns with peak- and off-peak times and seasonal shifts, and our data ...

... streaming, online video, display, and audio. Our tech fuels billions of transactions per day ... Our traffic has patterns with peak- and off-peak times and seasonal shifts, and our data ...

... streaming, online video, display, and audio. Our tech fuels billions of transactions per day ... Our traffic has patterns with peak- and off-peak times and seasonal shifts, and our data ...

... streaming, online video, display, and audio. Our tech fuels billions of transactions per day ... Our traffic has patterns with peak- and off-peak times and seasonal shifts, and our data ...

Data Engineer

Camden, NJ · On-site

$80K - $130K/yr

Data Engineer Create trusted, scalable data foundations that drive real-time decisions on a ... What You Will Own • Design, build, and operation of batch and streaming data pipelines. • ...

Data Engineer

Camden, NJ · On-site

$80K - $130K/yr

Data Engineer Create trusted, scalable data foundations that drive real-time decisions on a ... What You Will Own • Design, build, and operation of batch and streaming data pipelines. • ...

GCP Data Engineer

$117.20K - $140.70K/yr

GCP Data Engineer with 6 to 8+ years of experience in Data Analytics and Big Data. Responsible for ... Preferably including streaming data into environments such as BigQuery on Google Cloud Management ...

Data engineer Location: Need to come in hybrid 3 times a week too Iselin, NJ Need to come onsite ... Experience with Hadoop, Kafka, data lakes, and real-time streaming * Data Modeling & Transformation:

Data Engineer

Bellevue, WA · On-site

$129.20K - $155.20K/yr

Data Engineer Location: Bellevue, WA Job Type: Onsite/Remote: Hybrid * Experience in Synapse with ... Data quality check of the new streams * Monitoring of the data pipeline created in Azure Data ...

AWS Data Engineer

San Francisco, CA · On-site

$134.90K - $162K/yr

Job Title: AWS Data Engineer Job Location: San Francisco, CA Job Type: Contract * 7+ years of ... Implement and manage ETL processes using AWS Glue and EMR for both batch and streaming data * Data ...

Engineer II, Data

Plano, TX

$107K - $128.50K/yr

Data engineers also need to guarantee compliance with data governance and data security ... This role sits on the Enterprise Data Services team, which owns streaming data ingestion, curation ...

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Seasonal Streaming Data Engineer information

See salary details

$46K

$165K

$243.5K

How much do seasonal streaming data engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for seasonal streaming data engineer in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Seasonal Streaming Data Engineer, and why are they important?

To thrive as a Seasonal Streaming Data Engineer, you need expertise in real-time data processing, strong programming skills in languages like Python or Java, and a solid understanding of distributed systems, often backed by a relevant degree in computer science or engineering. Familiarity with streaming platforms such as Apache Kafka, Apache Flink, or Spark Streaming, as well as experience with cloud services like AWS or Azure, is typically required. Strong problem-solving abilities, adaptability, and effective communication help you collaborate efficiently and address dynamic project needs. These skills and qualities are crucial for building, maintaining, and optimizing data pipelines that support timely business insights in fast-paced, project-based environments.

What are the typical challenges faced by a Seasonal Streaming Data Engineer during peak periods?

Seasonal Streaming Data Engineers often encounter challenges related to high data volumes and rapidly changing workloads during peak seasons, such as major events or holidays. Ensuring real-time data pipelines remain stable and performant while scaling infrastructure to handle surges is a common hurdle. Additionally, collaborating closely with cross-functional teams, such as data analysts and DevOps, is essential for quick troubleshooting and deployment of solutions. Adapting to tight timelines and prioritizing tasks effectively are crucial skills for success in this role during busy periods.

What is a Seasonal Streaming Data Engineer?

A Seasonal Streaming Data Engineer is a data engineering professional who is typically hired on a temporary or contract basis to design, build, and maintain data pipelines that process and analyze streaming data in real time. These engineers focus on handling large volumes of continuously generated data, such as user activity logs or sensor readings, often for specific busy periods or special projects. Their work ensures that organizations can quickly gain insights from real-time data streams, supporting timely decision-making and responsive services. The 'seasonal' aspect refers to the role's temporary nature, often aligning with periods of high data activity or specific campaign needs.

What is the difference between Seasonal Streaming Data Engineer vs Streaming Data Engineer?

AspectSeasonal Streaming Data EngineerStreaming Data Engineer
CredentialsBachelor's in CS or related field, certifications in cloud platforms or data streaming toolsBachelor's in CS or related field, certifications in data streaming technologies
Work EnvironmentProjects with seasonal data patterns, cloud-based streaming platformsContinuous data streaming, real-time processing environments
Employer & IndustryRetail, e-commerce, or industries with seasonal data spikesTech companies, finance, or any industry with real-time data needs

The main difference is that a Seasonal Streaming Data Engineer focuses on handling data during specific seasonal periods, optimizing for seasonal spikes. In contrast, a Streaming Data Engineer manages continuous, real-time data streams without seasonal emphasis. Both roles require similar skills but differ in their project focus and data patterns.

More about Seasonal Streaming Data Engineer jobs
What cities are hiring for Seasonal Streaming Data Engineer jobs? Cities with the most Seasonal Streaming Data Engineer job openings:
What are the most commonly searched types of Streaming Data Engineer jobs? The most popular types of Streaming Data Engineer jobs are:
What states have the most Seasonal Streaming Data Engineer jobs? States with the most job openings for Seasonal Streaming Data Engineer jobs include:
What job categories do people searching Seasonal Streaming Data Engineer jobs look for? The top searched job categories for Seasonal Streaming Data Engineer jobs are:
Infographic showing various Seasonal Streaming Data Engineer job openings in the United States as of May 2026, with employment types broken down into 4% Full Time, 92% Part Time, and 4% Temporary. Highlights an 100% Physical job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Lead Data Engineer

$109.60K - $131.60K/yr

Full-time

Posted 20 days ago


Capital One rating

7.7

Company rating: 7.7 out of 10

Based on 134 frontline employees who took The Breakroom Quiz

74th of 141 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 Data 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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