Senior Data Engineer

iHire; Plano (TX); On-site; USD 144,200 - 164,600; Full time

Benefits offered by this job

Health benefits

Financial benefits

Inclusive workplace

Diversity and inclusion programs

Job summary

An established industry player is seeking a Senior Data Engineer to innovate and optimize data pipelines. In this dynamic role, you will leverage advanced AWS services to build and maintain sophisticated data architectures that empower sales teams with actionable insights. Collaborate with talented engineers in a creative environment driven by agile methodologies, and contribute to the development of cutting-edge data solutions. If you are passionate about data engineering and eager to make a meaningful impact, this opportunity is perfect for you.

Qualifications

• 3+ years in application development with experience in big data technologies.
• Expertise in Python, SQL, and cloud services like AWS is essential.

Responsibilities

• Design and build scalable, low-latency streaming data platforms.
• Develop data pipelines using big data technologies for actionable insights.

Skills

Python

SQL

Scala

Java

Agile methodologies

Machine learning

Distributed data computing

Shell scripting

Education

Bachelor's Degree

Tools

AWS

Kafka

Spark

Flink

Redshift

Snowflake

DynamoDB

OpenSearch

Job description

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 Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One.

Capital One is looking for an experienced Senior Data Engineer to join our Sales Data Team, dedicated to innovating and optimizing our data pipeline architecture. In this crucial role, you will be responsible for building and maintaining sophisticated data pipelines that ingest data from major auto customers, utilizing advanced AWS services including EMR, S3, and EC2. Your work will directly empower sales associates by providing actionable data insights and analytics that drive business development and strategic decision-making. With your expertise in Python and cloud-based data solutions, you will play a key role in enhancing our analytics capabilities and transforming raw data into valuable business intelligence.

What You'll Do:

• Be a part of team designing and building 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.
• Be part of a group of engineers building data pipelines using big data technologies (Spark, Flink, Kafka, Snowflake, AWS Big Data Services, Redshift) on medium to large scale datasets.
• 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 3 years of experience in application development (Internship experience does not apply).
• At least 1 year of experience in big data technologies.

Preferred Qualifications:

• 5+ years of experience in application development including Python, SQL, Scala, or Java.
• 2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud).
• 3+ years experience with Distributed data computing tools (Kafka, Spark, Flink).
• 2+ years experience working on real-time data and streaming applications.
• 2+ years of experience with NoSQL implementation (DynamoDB, OpenSearch).
• 2+ years of data warehousing experience (Redshift or Snowflake).
• 3+ 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, or another type of work authorization).

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.

McLean, VA: $158,600 - $181,000 for Senior Data Engineer

Plano, TX: $144,200 - $164,600 for Senior Data Engineer

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital 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 committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law.

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.