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Azure Engineer

TieTalent

Village of Tarrytown (NY)

Remote

USD 75,000 - 141,000

Full time

Today
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Job summary

Join a leading healthcare company as an Azure Engineer and take part in shaping the future of data solutions. This full-time role focuses on designing scalable data systems, providing growth opportunities within a diverse and innovative environment. Ideal candidates will have a strong data engineering background, with skills in various programming languages and data tools.

Benefits

Growth opportunities
Comprehensive benefits
Competitive compensation

Qualifications

  • Minimum 3 years' experience in data engineering.
  • Experience with Databricks and Apache Spark.
  • Proficient in data management in medium scale datasets.

Responsibilities

  • Design and implement scalable data pipelines using Azure Databricks.
  • Optimize data workflows for performance and efficiency.
  • Document data engineering workflows and ensure best practices.

Skills

Data Mining
ETL
SQL
Python
Scala
Java
SSIS
Azure Data Factory
Git
YAML

Education

Bachelor's degree in relevant field

Job description

Join to apply for the Azure Engineer role at TieTalent

Join to apply for the Azure Engineer role at TieTalent

About

Full-Time, Exempt

At MVP Health Care, we're on a mission to create a healthier future for everyone - which requires innovative thinking and continuous improvement. To achieve this, we're looking for a Data Engineer to join #TeamMVP. If you have a passion for delivering data driven business value, enabling data solutions for customers, and an interest in improving data quality, this is the opportunity for you.

What's In It For You

  • Growth opportunities to uplevel your career
  • A people-centric culture embracing and celebrating diverse perspectives, backgrounds, and experiences within our team
  • Competitive compensation and comprehensive benefits focused on well-being
  • An opportunity to shape the future of health care by joining a team recognized as a Best Place to Work for and one of the Best Companies to Work For in New York

Qualifications You'll Bring

  • Minimum 3 years' experience with direct data engineering and data management, particularly with Databricks and Apache Spark
  • Experience in data mining, ETL, SQL, etc. and using databases in business environment with medium scale, complex datasets
  • Experience coding in languages such as Python, Scala, or Java
  • Experience with Extract, Transform, & Load tools such as SSIS, Azure Data Factory, Azure Data Bricks, Synapse Link, Informatica, or similar
  • Curiosity to foster innovation and pave the way for growth
  • Humility to play as a team
  • Commitment to being the difference for our customers in every interaction

Your Key Responsibilities

  • Designing and implementing scalable data pipelines using Azure Databricks and Apache Spark
  • Optimizing data workflows for performance and efficiency
  • Ensuring data quality and security throughout the data lifecycle
  • Develop, validate, and deploy Extract, Transform, Load (ETL) processes that ensure data quality to integrate data from disparate sources
  • Create and maintain data models to support reporting and analytics requirements
  • Implement and utilize GIT repositories and YAML code to support a stable and secure environment.
  • Document data engineering workflows
  • Ensure data engineering best practices
  • Interface with analysts and business customers (internal and external) to gather and define requirements for solutions
  • Continually improve ongoing team processes, automating where needed

Where You'll Be

Virtual- Within New York State

#cs

Pay Transparency

MVP Health Care is committed to providing competitive employee compensation and benefits packages. The base pay range provided for this role reflects our good faith compensation estimate at the time of posting. MVP adheres to pay transparency nondiscrimination principles. Specific employment offers and associated compensation will be extended individually based on several factors, including but not limited to geographic location; relevant experience, education, and training; and the nature of and demand for the role.

We do not request current or historical salary information from candidates.

MVP's Inclusion Statement

At MVP Health Care, we believe creating healthier communities begins with nurturing a healthy workplace. As an organization, we strive to create space for individuals from diverse backgrounds and all walks of life to have a voice and thrive. Our shared curiosity and connectedness make us stronger, and our unique perspectives are catalysts for creativity and collaboration.

MVP is an equal opportunity employer and recruits, employs, trains, compensates, and promotes without discrimination based on race, color, creed, national origin, citizenship, ethnicity, ancestry, sex, gender identity, gender expression, religion, age, marital status, personal appearance, sexual orientation, family responsibilities, familial status, physical or mental disability, handicapping condition, medical condition, pregnancy status, predisposing genetic characteristics or information, domestic violence victim status, political affiliation, military or veteran status, Vietnam-era or special disabled Veteran or other legally protected classifications.

To support a safe, drug-free workplace, pre-employment criminal background checks and drug testing are part of our hiring process. If you require accommodations during the application process due to a disability, please contact our Talent team at (email protected).

Other Details

  • Job Family Information Technology & Transformation Services
  • Pay Type Salary
  • Min Hiring Rate $75,870.00
  • Max Hiring Rate $140,930.00

Apply Now

Nice-to-have skills

  • Data Mining
  • ETL
  • SQL
  • Python
  • Scala
  • Java
  • SSIS
  • Azure Data Factory
  • Git
  • YAML
  • Tarrytown, New York

Work experience

  • Data Engineer

Languages

  • English

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Engineering and Information Technology
  • Industries
    Technology, Information and Internet

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