5 Data Engineer Jobs in Frisco, TX
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Comerica Bank is Hiring a Data Engineer Near Frisco, TX
Position ResponsibilitiesDesign and Methodology
- Design, implement and operate medium to large-scale, high-volume, high-performance data structures for reporting, analytics, and data science.
- Write and refine code to ensure performance and reliability of data extraction and processing.
- Implement data ingestion routines both real time and batch using best practices in data modeling, ETL/ELT processes by leveraging big data tools.
- Create data products for analytics and Data Scientist team members to improve their productivity.
- Document and test moderate data systems that bring together data from disparate sources, making it available to Data Scientists, and other users using scripting and/or programming languages.
- Design, develop and build real-time data pipelines from a variety of sources (streaming data, APIs, data warehouse, messages etc.)
- Leverage the understanding of software architecture and software design patterns to write scalable, maintainable, well-designed, and future-proof software.
- Manage existing pipelines and create new pipelines from a variety of sources (relational, XML, etc.)
- Design and build solutions to track data quality, stabilize data pipeline, etc. to ensure reliable operations.
- Document and test data processes including performance of through data validation and verification.
- Gather business and functional requirements and translate these requirements into robust, scalable operable solutions with a flexible and adaptable data architecture.
- Collaborate with engineers to help adopt best practices in data system creation, data integrity, test design, analysis, validation, and documentation.
- Collaborate with Data Scientists to create fast and efficient algorithms that exploit our rich data sets for optimization, statistical analysis, prediction, clustering, and machine learning.
- Coordination with other teams to design optimal patterns for data ingest and egress, as well as lead and coordinate data quality initiatives and troubleshooting.
- Participate in sprint planning meetings as needed.
- Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions.
- Optimize support for ad-hod analysis across various data sources.
- Ensure best practices are followed across architecture, codebase, and configuration.
- Continually improve ongoing reporting and analysis processes, automating or simplifying self-service modeling and production support for customers.
- In collaboration with the Data Engineer III, contribute to the exploration and understanding of new tools and techniques for improvements to the data pipeline.
- Review and are familiar with automated processes for performance and fault tolerance.
- Review functional and technical designs to identify areas of risk and any missing requirements.
- Design and implement security measures to protect data from unauthorized access or misuse.
- In collaboration with the Data Engineer III, design backup and recovery procedures to ensure data integrity is maintained.
- Keeps management informed of status of on activities through accurate, timely, and appropriate reporting.
- Contribute to Data Governance, system documentation and sharing of data asset knowledge.
- Actively participates in committees representing the department and/or planning unit.
- Keeps abreast of leading-edge technologies in the Data Engineering space.
- Bachelor's Degree from an accredited university in Computer Science, Engineering or in a Technology related field OR equivalent through a combination of education and/or technology experience OR 12 years of technology experience
- 5 years of experience in Data Engineering, BI Engineering or related field in architecting and developing end-to-end scalable data applications and data pipelines
- 5 years of development experience in extracting, transforming/manipulating, and loading data sets of various sizes using Informatica IICS cloud or Snowflake or similar skills
- 5 years of experience using programming languages Python and querying languages (SQL)
- 5 years of experience working knowledge of different databases (e.g., SQL & NoSQL)
- 4 years of experience implementing data warehouse solutions using CI/CD automation, Jenkins etc.
- 4 years of experience developing strong collaborative relationships with key partners in data engineering, business intelligence, software development, finance, modelling, and product teams
- 3 years of experience working with software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes and testing
- 2 years of experience using AWS or Azure cloud technologies leveraging S3, Lambda, EC2 resources
- Preferred, Amazon Web Services (AWS) Practitioner or Solutions Architect
- Hands-on work experience using DataIku
8:00am - 5:00pm Monday - Friday
Job Summary
Full Time
Banking
$104k-130k (estimate)
06/24/2024
06/24/2024
comericabanktower.com
DALLAS, TX
7,500 - 15,000
1973
RALPH W BABB JR
$3B - $5B
Banking
Related Companies
The job skills required for Data Engineer include SQL, Python, Data Engineering, AWS, Big Data, Data Warehouse, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Engineer. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Data Engineer positions, which can be used as a reference in future career path planning. As a Data Engineer, it can be promoted into senior positions as a Database Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Engineer. You can explore the career advancement for a Data Engineer below and select your interested title to get hiring information.
If you are interested in becoming a Data Engineer, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Engineer for your reference.
Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Data Engineer job description and responsibilities
The data engineer develops and maintains the enterprise data framework for continued use.
03/12/2022: Dothan, AL
A data engineer prepares data for analytical or operational uses.
03/03/2022: Boulder, CO
Data engineers simplify complex data structure and prevent the reduplication of data.
03/28/2022: New Suffolk, NY
Data Engineers are the technical professionals who prepare data that can be used by data scientists for valuable decisions and strategies.
04/13/2022: Harrisburg, PA
Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Data Engineer jobs
Changing oil, running basic checks, topping off fluids and checking tire pressure are common job duties.
01/22/2022: Fort Wayne, IN
Oil changes are an essential component of preventative maintenance.
02/26/2022: Newark, NJ
A data engineer should be aligned with a data scientist’s needs while creating a data system.
04/10/2022: Fayetteville, NC
Start with an entry-level position.
02/10/2022: Winston Salem, NC
Consider pursuing additional professional engineering or big data certifications.
03/09/2022: Saginaw, MI
Step 3: View the best colleges and universities for Data Engineer.
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