iShare Inc.
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Job Title:
Data Engineer - Databricks & Azure
Location:
Columbus, OH preferred / Remote (US or Canada)
Experience Required:
7-12 years
Compensation:
$150K USD / CAD $170K-$190K
Job Type:
Full-Time
Position Overview:
We are seeking a skilled Data Engineer to join our team. The successful candidate will be responsible for development and optimization of data pipelines, implementing robust data checks, and ensuring the accuracy and integrity of data flows. This role is critical in supporting data-driven decision-making processes, especially in the context of our insurance-focused business operations.
Responsibilities:
Collaborate with data analysts, reporting team and business advisors to gather requirements and define data models Develop and maintain scalable and efficient data pipelines Implement robust data checks and validate large datasets Monitor data jobs and troubleshoot issues Review and audit data processes for compliance Work within Agile methodologies including scrum and sprint planning Qualifications:
Bachelor's degree in Computer Science, IT, or related field 7-12 years of experience in Data Engineering with Databricks & Cloud Strong proficiency in PySpark, Python, SQL Experience in data modeling, ETL/ELT pipeline development, and automation Hands-on experience with Azure Data Factory, Azure Databricks, Azure Data Lake Experience with Delta Lake, Delta Live Tables, Autoloader & Unity Catalog Preferred: Knowledge of insurance industry data requirements Strong analytical and communication skills
This is a remote position.
About
In the perfect storm of technology forces shaping the business world, the question is not whether companies need to adapt to stay competitive but which tech partner to trust for long-term business improvement and transformation needs.
That's why iShare was founded: to be that credible IT partner that cuts through the buzzword clutter to deliver real value by real people. And that starts with doing the basics right.
Who We Are
Based in New Jersey, iShare is a boutique IT consulting firm with strategic advisory, development, and staffing services designed for specific industry verticals. iShare was founded to fill a real market need - with so much noise about cloud, big data, and information security, companies today are adopting software product after product and losing sight of which they need and why, while what they really need is credible consulting that takes the time to understand their company's unique scenario and requirement, and then architect a solution accordingly.
Recognizing this gap, senior industry executives put their credibility on the line to form iShare and ensure they create a fulfilling experience with lasting value for all stakeholders - customers, employees and partners. iShare leadership team has 20+ years average IT experience and is well-rounded in technology, operations, account and customer management. Our experience spans C-Suite positions with Fortune 100 firms as well as mid-tier firms. Our background includes stints at multibillion-dollar ITO / BPO firms as well as startups.
Job Title:
Data Engineer - Databricks & Azure
Location:
Columbus, OH preferred / Remote (US or Canada)
Experience Required:
7-12 years
Compensation:
$150K USD / CAD $170K-$190K
Job Type:
Full-Time
Position Overview:
We are seeking a skilled Data Engineer to join our team. The successful candidate will be responsible for development and optimization of data pipelines, implementing robust data checks, and ensuring the accuracy and integrity of data flows. This role is critical in supporting data-driven decision-making processes, especially in the context of our insurance-focused business operations.
Responsibilities:
Collaborate with data analysts, reporting team and business advisors to gather requirements and define data models Develop and maintain scalable and efficient data pipelines Implement robust data checks and validate large datasets Monitor data jobs and troubleshoot issues Review and audit data processes for compliance Work within Agile methodologies including scrum and sprint planning Qualifications:
Bachelor's degree in Computer Science, IT, or related field 7-12 years of experience in Data Engineering with Databricks & Cloud Strong proficiency in PySpark, Python, SQL Experience in data modeling, ETL/ELT pipeline development, and automation Hands-on experience with Azure Data Factory, Azure Databricks, Azure Data Lake Experience with Delta Lake, Delta Live Tables, Autoloader & Unity Catalog Preferred: Knowledge of insurance industry data requirements Strong analytical and communication skills
This is a remote position.
About
In the perfect storm of technology forces shaping the business world, the question is not whether companies need to adapt to stay competitive but which tech partner to trust for long-term business improvement and transformation needs.
That's why iShare was founded: to be that credible IT partner that cuts through the buzzword clutter to deliver real value by real people. And that starts with doing the basics right.
Who We Are
Based in New Jersey, iShare is a boutique IT consulting firm with strategic advisory, development, and staffing services designed for specific industry verticals. iShare was founded to fill a real market need - with so much noise about cloud, big data, and information security, companies today are adopting software product after product and losing sight of which they need and why, while what they really need is credible consulting that takes the time to understand their company's unique scenario and requirement, and then architect a solution accordingly.
Recognizing this gap, senior industry executives put their credibility on the line to form iShare and ensure they create a fulfilling experience with lasting value for all stakeholders - customers, employees and partners. iShare leadership team has 20+ years average IT experience and is well-rounded in technology, operations, account and customer management. Our experience spans C-Suite positions with Fortune 100 firms as well as mid-tier firms. Our background includes stints at multibillion-dollar ITO / BPO firms as well as startups.