Professional, Data Engineer
Professional, Data Engineer
Burlington Office, 62 Merchants Row, Williston, Vermont, United States of America
- Headquarters Office, 625 State Street, Schenectady, New York, United States of America
- Rochester Office, 20 S. Clinton Ave, Rochester, New York, United States of America
- Tarrytown Office, 303 South Broadway, Tarrytown, New York, United States of America
- Virtual Req #2251
Friday, November 8, 2024
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, Informatica, or similar
Your key responsibilities :
- Designing and implementing scalable data pipelines using 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
- 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
Virtual
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 $120,000.00
Apply Now
context" : "https : / / schema.org / ","@type" : "JobPosting","title" : "Professional, Data Engineer","datePosted" : "2024-11-08T00 : 00 : 00","validThrough" : null,"description" : " nWhat's in it for you : n nGrowth opportunities to uplevel your career n n nA people-centric culture embracing and celebrating diverse perspectives, backgrounds, and experiences within our team n n nCompetitive compensation and comprehensive benefits focused on well-being n n nAn 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 n n nQualifications you'll bring : n n nMinimum 3 years' experience with direct data engineering and data management, particularly with Databricks and Apache Spark n n nExperience in data mining, ETL, SQL, etc.
and using databases in business environment with medium scale, complex datasets n n nExperience coding in languages such as Python, Scala, or Java n n nExperience with Extract, Transform, & Load tools such as SSIS, Azure Data Factory, Informatica, or similar n n nYour key responsibilities : n n nDesigning and implementing scalable data pipelines using Databricks and Apache Spark n n nOptimizing data workflows for performance and efficiency n n nEnsuring data quality and security throughout the data lifecycle n n nDevelop, validate, and deploy Extract, Transform, Load (ETL) processes that ensure data quality to integrate data from disparate sources n n nCreate and maintain data models to support reporting and analytics requirements n n nDocument data engineering workflows nEnsure data engineering best practices n n nInterface with analysts and business customers (internal and external) to gather and define requirements for solutions n n nContinually improve ongoing team processes, automating where needed n n nWhere you'll be : nVirtual n","employmentType" : "FULL TIME","hiringOrganization" : "@type" : "Organization","name" : "MVP Health Care","logo" : "https : / / us242.
dayforcehcm.com / CandidatePortal / en-US / mvphealthcare / Go?item d49ce0ce-e622-4e29-ad2b-621b5daca722" ,"jobLocation" : "@type" : "Place","address" : "@type" : "PostalAddress","streetAddress" : "20 S.
Clinton Ave","addressLocality" : "Rochester","addressRegion" : "New York","postalCode" : "14604","addressCountry" : "USA" , "@type" : "Place","address" : "@type" : "PostalAddress","streetAddress" : "303 South Broadway","addressLocality" : "Tarrytown","addressRegion" : "New York","postalCode" : "10591","addressCountry" : "USA" , "@type" : "Place","address" : "@type" : "PostalAddress","streetAddress" : "625 State Street","addressLocality" : "Schenectady","addressRegion" : "New York","postalCode" : "12305","addressCountry" : "USA" , "@type" : "Place","address" : "@type" : "PostalAddress","streetAddress" : "62 Merchants Row","addressLocality" : "Williston","addressRegion" : "Vermont","postalCode" : "05495","addressCountry" : "USA" ,"jobLocationType" : "TELECOMMUTE","baseSalary" : "@type" : "MonetaryAmount","value" : "@type" : "QuantitativeValue","value" : null,"minValue" : "75870.
00000","maxValue" : "120000.00000","unitText" : "YEAR"
Burlington Office, 62 Merchants Row, Williston, Vermont, United States of America
Headquarters Office, 625 State Street, Schenectady, New York, United States of America
Rochester Office, 20 S. Clinton Ave, Rochester, New York, United States of America
Tarrytown Office, 303 South Broadway, Tarrytown, New York, United States of America
Virtual
Share this job :