205 Data Engineer Jobs in Seattle, WA
Control Risks is Hiring a Data Engineer Near Seattle, WA
- Design, implement and support analytical data platform solutions for data driven decisions and insights.
- Design data schema and operate internal data warehouses & SQL/NOSQL database systems.
- Work on different data model designs, architecture, implementation, discussions and optimizations.
- Interface with other teams to extract, transform, and load data from a wide variety of data sources, big data technologies like EMR, RedShift, Elastic Search etc.
- Work on SQL technologies on Hadoop such as Spark, Hive, Impala etc.
- Help continually improve ongoing analysis processes, optimizing or simplifying self-service support for customers
- Must possess strong verbal and written communication skills, be self-driven, and deliver high quality results in a fast-paced environment.
- Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
- Enjoy working closely with your peers in a group of talented engineers and gain knowledge.
- Be enthusiastic about building deep domain knowledge on various GSII AFP domains.
- Own the development and maintenance of metrics, reports, analyses, dashboards, etc. to drive key business decisions.
The Data Engineer will be working on building and maintaining complex data pipelines, Assemble large and complex datasets to generate business insights and to enable data driven decision making and support the rapidly growing and dynamic business demand for data.
As a Data Engineer you will have an opportunity to collaborate and work with various teams of Data Scientists, Database Developers and Managers, Software Dev Engineers, and Program managers to determine how best to design, implement and support solutions.
- Candidates must have a degree in Computer Science or Engineering or related field, and 3 years of industry experience as a Data Engineer or in a similar role.
- Hands on experience in languages like Python, Java, Scala, etc.
- Working knowledge of RDBMS, Big Data, SQL, NOSQL, ETL and Data-warehousing.
- Experience working with distributed systems and big data processing technologies (Hadoop, Hive, Hbase, Spark, EMR, etc.).
- Candidate must have good written and oral communication skills, be a fast learner and have the ability to adapt quickly to a fast-paced development environment.
- Knowledge of software engineering best practices across the development life cycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations.
- Knowledge of cloud services such as AWS or equivalent.
- Knowledge on different reporting/visualization tools in the industry.
- Sharp problem-solving skills and ability to resolve ambiguous requirements .
- Control Risks offers a competitively positioned compensation and benefits package that is transparent and summarised in the full job offer.
- We operate a discretionary bonus scheme that incentivizes, and rewards individuals based on company and individual performance
- Control Risks supports hybrid working arrangements, wherever possible, that emphasize the value of in-person time together - in the office and with our clients - while continuing to support flexible and remote working.
Job Summary
Full Time
Business Services
$126k-156k (estimate)
07/04/2024
09/02/2024
controlrisks.com
LONDON
1,000 - 3,000
1975
KATHRYN ELIZABETH FLEMING
$50M - $200M
Business Services
Related Companies
The job skills required for Data Engineer include SQL, Python, AWS, Big Data, Data Warehouse, Computer Science, 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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