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Data Engineer (Snowflake/Python/SQL)
Kforce Merrimack, NH
$124k-153k (estimate)
Contractor | Business Services 2 Weeks Ago
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Kforce is Hiring a Data Engineer (Snowflake/Python/SQL) Near Merrimack, NH

ResponsibilitiesKforce has a client that is seeking a Data Engineer (Snowflake/Python/SQL) in Merrimack, NH. Duties Include:
  • Data Engineer will drive technical discussions, arbitrate and recommend optimal path forward in a room of highly opinionated engineers that may or may not agree with you
  • Use your experience and knowledge to influence better software design, promote proper software engineering and bug prevention strategies, testability, and security
  • Actively participate in the development process through writing and maintain application features and automated tests including unit tests, component tests, integration tests, functional tests
  • Support the team in maintaining CI/CD pipelines
  • Collaborate with team members on improving team's test coverage, release velocity and production health
  • Participate in application code and test code reviews with rest of the Scrum team
  • As a Data Engineer, you will contribute to own entire features from concept to deployment working on multi-functional activities
  • Contribute ideas to improve our products as well as develop your skills, learn new technologies and languages, and continue to learn
  • You do not compromise for the sake of social acceptance and demonstrate conviction and drive to operate in highly ambiguous situations thriving in uncertainty while keeping your eyes on the long-term vision
Requirements
  • Bachelor's degree in Computer Science or related field
  • 5 years of experience building data engineering pipelines/solutions using modern programming languages
  • Experience in implementing BI tools and report development
  • Experience implementing data solutions in AWS/on prem data centers using ETL tools, queues, batch scheduling services and various storage solutions
  • Experience building unit and integration tests
  • Experience building and deploying applications using continuous integration pipelines and automated deployment tools such as Jenkins, etc.
  • Experience supporting and working with cross-functional teams in a dynamic environment
  • Background in data analysis and data modeling
  • Strong and proven building data pipelines in python
  • Strong SQL knowledge and work experience with relational databases such as Oracle, PostgreSQL, and Snowflake
  • Expertise in Migrating data using Lamda, Kafka and python services
  • Expertise in Integrating Amazon Aurora PostgreSQL, Snowflake with other AWS services
  • Proficient with Best Practices with Amazon Aurora PostgreSQL and Snowflake
  • Data quality mindset and knowledge of techniques to ensure data quality
  • Ability to build reliable software that can withstand unreliable environments
  • Passionate and open to learning new tools and developing with the latest technologies and frameworks
  • Solid analytical, communication, and organizational skills
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

Job Summary

JOB TYPE

Contractor

INDUSTRY

Business Services

SALARY

$124k-153k (estimate)

POST DATE

06/12/2024

EXPIRATION DATE

07/10/2024

WEBSITE

kforce.com

HEADQUARTERS

FORT WORTH, TX

SIZE

1,000 - 3,000

FOUNDED

1962

TYPE

Public

CEO

JOSH EDWARD

REVENUE

$1B - $3B

INDUSTRY

Business Services

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Kforce is a professional staffing firm that matches job seekers and employers in the areas of technology, finance, accounting and healthcare.

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The job skills required for Data Engineer (Snowflake/Python/SQL) include SQL, Python, Data Engineering, AWS, Computer Science, Data Modeling, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Engineer (Snowflake/Python/SQL). 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 (Snowflake/Python/SQL). Select any job title you are interested in and start to search job requirements.

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The following is the career advancement route for Data Engineer (Snowflake/Python/SQL) positions, which can be used as a reference in future career path planning. As a Data Engineer (Snowflake/Python/SQL), 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 (Snowflake/Python/SQL). You can explore the career advancement for a Data Engineer (Snowflake/Python/SQL) below and select your interested title to get hiring information.

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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.

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A data engineer prepares data for analytical or operational uses.

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Data engineers simplify complex data structure and prevent the reduplication of data.

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Data Engineers are the technical professionals who prepare data that can be used by data scientists for valuable decisions and strategies.

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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.

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Oil changes are an essential component of preventative maintenance.

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A data engineer should be aligned with a data scientist’s needs while creating a data system.

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Start with an entry-level position.

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Consider pursuing additional professional engineering or big data certifications.

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Step 3: View the best colleges and universities for Data Engineer.

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