Penn Foster
Data Analytics Platform Engineer
Penn Foster, Hartford, Connecticut, us, 06112
Together we fight for everyone’s opportunity for a better financial future.We will do this together — with customers, partners and colleagues. We will fight for others, not against: We will stand up for and champion everyone’s access to opportunities. The status quo is not good enough … we believe every individual and every community deserves access to financial opportunities. We are determined to support both individuals and communities in reaching a better financial future. We know that reaching this future depends on our actions today.Like our Purpose Statement, Voya believes in being bold and committed to action. We are committed to a work environment where the differences that we are born with — and those we acquire throughout our lives — are understood, valued and intentionally pursued. We believe that our employees own our culture and have a responsibility to foster an environment where we all feel comfortable bringing our whole selves to work. Purposefully bringing our differences together to positively influence our culture, serve our clients and enrich our communities is essential to our vision.Are you ready to join a company with a strong purpose and a winning culture? Start your Voyage – Apply NowGet to Know the Opportunity
We are part of Voya Enterprise Data and Analytics Organization, and are in the process of migrating to Azure Cloud from on premise to host our data infrastructure. As part of this journey we intend to build a Cloud based modern data and analytics platform that supports our data strategy.Data/Analytics Platform – Solution Engineering Consultant will be part of a team that will be responsible to build the technology capabilities of the data platform to enable the users of the platform like Data Product teams to build their data products using the platform as quickly as possible, to help business derive value from data.The Contributions You'll Make
Create solution prototypes to demonstrate proof of value, assess implementation complexity.Hands-on solution engineering & enablement – leveraging data/analytics services.Create and manage reference library of reusable assets across the data and analytics stack to accelerate build and deploy of products/initiatives.Research of potential system solutions, including evaluating product and vendor products and services.Help vendors identify the root cause of, and recommend corrective actions in response to, system outages or performance issues. Tracks vendor remediation plans.Often work independently on medium-scale and complexity projects or problem solving exercises.Recommend vendors take corrective action as needed based on an understanding how SLAs are built, monitored, and measured. May provide technical coaching or assistance to a solutions engineer.May lead less complex projects without day to day direction. Will monitor vendor progress across a variety of projects and remediation plans.Collaborate with Supplier(s) and provides direction on change implementation plans.May assist architects/engineers to prepare strategy and roadmap presentations.Analyze daily/weekly/monthly reports that track Supplier(s) adherence to SLA and KPI metrics.Participate in P1/P2/P3 troubleshooting calls as requested. May be involved in approving vendor RCAs.Be available for on-call rotation.Works collaboratively with all IT functions.Skills, Knowledge & Experience:
Deep subject matter expertise in several data/analytics stacks.Architecture Compliance execution.Requires expertise in cloud data/analytics solutions and capabilities with focus on data and analytics services (data lakes, analytical platforms, data pipelines using code first and no/low code solutions), data warehouse/data lake house concepts, AI/ML and business intelligence platforms with 3-5 years of experience.Experience with Azure Data Factory, ADLS, Azure services (functions, logic apps, service bus, event grid, event hub, azure monitor), Snowflake, Databricks, ETL/ETL solutions, such as Talend/Snaplogic/Informatica.Customer-focused and solutions-oriented mindset.Strong interpersonal and partnership skills.Strong verbal and written communication skills with internal and external stakeholders.Strong time management skills - able to prioritize, organize and plan work effectively.Change Management, Release Management, Incident Management & Problem Management.Bachelor’s Degree in Computer Science, Engineering and/or 5 or more years of professional IT work experience. May have an advanced degree.Minimum of 3 years of relevant work experience in the data and analytics, with demonstrable work experience in related stacks.Multiple industry certifications preferred.Compensation Pay Disclosure:Voya is committed to pay that’s fair and equitable, which means comparable pay for comparable roles and responsibilities. The below annual base salary range reflects the expected hiring range(s) for this position in the location(s) listed. In addition to base salary, Voya offers incentive opportunities (i.e., annual cash incentives, sales incentives, and/or long-term incentives) based on the role to reward the achievement of annual performance objectives.Actual compensation offered may vary from the posted salary range based upon the candidate’s geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.$91,660 - $144,230 USDWhat We Offer
Health, dental, vision and life insurance plans401(k) Savings plan – with generous company matching contributions (up to 6%)Voya Retirement Plan – employer paid cash balance retirement plan (4%)Tuition reimbursement up to $5,250/yearPaid time off – including 20 days paid time off, nine paid company holidays and a flexible Diversity Celebration Day.Paid volunteer time — 40 hours per calendar yearCritical Skills
At Voya, we have identified the following critical skills which are key to success in our culture:Customer Focused: Passionate drive to delight our customers and offer unique solutions that deliver on their expectations.Critical Thinking: Thoughtful process of analyzing data and problem solving data to reach a well-reasoned solution.Team Mentality: Partnering effectively to drive our culture and execute on our common goals.Business Acumen: Appreciation and understanding of the financial services industry in order to make sound business decisions.Learning Agility: Openness to new ways of thinking and acquiring new skills to retain a competitive advantage.Equal Employment Opportunity
Voya Financial is an equal-opportunity employer. Voya Financial provides equal opportunity to qualified individuals regardless of race, color, sex, national origin, citizenship status, religion, age, disability, veteran status, creed, marital status, sexual orientation, gender identity, genetic information, or any other status protected by state or local law.Reasonable Accommodations
We are committed to maintaining a diverse workforce. This commitment governs all decisions related to employment, including selection, development and compensation. It also includes an employee’s request for reasonable accommodation. All employees will be treated in a manner free from discrimination or harassment. Voya is committed to providing equal employment opportunities for persons with disabilities, including reasonable accommodation when needed.
#J-18808-Ljbffr
We are part of Voya Enterprise Data and Analytics Organization, and are in the process of migrating to Azure Cloud from on premise to host our data infrastructure. As part of this journey we intend to build a Cloud based modern data and analytics platform that supports our data strategy.Data/Analytics Platform – Solution Engineering Consultant will be part of a team that will be responsible to build the technology capabilities of the data platform to enable the users of the platform like Data Product teams to build their data products using the platform as quickly as possible, to help business derive value from data.The Contributions You'll Make
Create solution prototypes to demonstrate proof of value, assess implementation complexity.Hands-on solution engineering & enablement – leveraging data/analytics services.Create and manage reference library of reusable assets across the data and analytics stack to accelerate build and deploy of products/initiatives.Research of potential system solutions, including evaluating product and vendor products and services.Help vendors identify the root cause of, and recommend corrective actions in response to, system outages or performance issues. Tracks vendor remediation plans.Often work independently on medium-scale and complexity projects or problem solving exercises.Recommend vendors take corrective action as needed based on an understanding how SLAs are built, monitored, and measured. May provide technical coaching or assistance to a solutions engineer.May lead less complex projects without day to day direction. Will monitor vendor progress across a variety of projects and remediation plans.Collaborate with Supplier(s) and provides direction on change implementation plans.May assist architects/engineers to prepare strategy and roadmap presentations.Analyze daily/weekly/monthly reports that track Supplier(s) adherence to SLA and KPI metrics.Participate in P1/P2/P3 troubleshooting calls as requested. May be involved in approving vendor RCAs.Be available for on-call rotation.Works collaboratively with all IT functions.Skills, Knowledge & Experience:
Deep subject matter expertise in several data/analytics stacks.Architecture Compliance execution.Requires expertise in cloud data/analytics solutions and capabilities with focus on data and analytics services (data lakes, analytical platforms, data pipelines using code first and no/low code solutions), data warehouse/data lake house concepts, AI/ML and business intelligence platforms with 3-5 years of experience.Experience with Azure Data Factory, ADLS, Azure services (functions, logic apps, service bus, event grid, event hub, azure monitor), Snowflake, Databricks, ETL/ETL solutions, such as Talend/Snaplogic/Informatica.Customer-focused and solutions-oriented mindset.Strong interpersonal and partnership skills.Strong verbal and written communication skills with internal and external stakeholders.Strong time management skills - able to prioritize, organize and plan work effectively.Change Management, Release Management, Incident Management & Problem Management.Bachelor’s Degree in Computer Science, Engineering and/or 5 or more years of professional IT work experience. May have an advanced degree.Minimum of 3 years of relevant work experience in the data and analytics, with demonstrable work experience in related stacks.Multiple industry certifications preferred.Compensation Pay Disclosure:Voya is committed to pay that’s fair and equitable, which means comparable pay for comparable roles and responsibilities. The below annual base salary range reflects the expected hiring range(s) for this position in the location(s) listed. In addition to base salary, Voya offers incentive opportunities (i.e., annual cash incentives, sales incentives, and/or long-term incentives) based on the role to reward the achievement of annual performance objectives.Actual compensation offered may vary from the posted salary range based upon the candidate’s geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.$91,660 - $144,230 USDWhat We Offer
Health, dental, vision and life insurance plans401(k) Savings plan – with generous company matching contributions (up to 6%)Voya Retirement Plan – employer paid cash balance retirement plan (4%)Tuition reimbursement up to $5,250/yearPaid time off – including 20 days paid time off, nine paid company holidays and a flexible Diversity Celebration Day.Paid volunteer time — 40 hours per calendar yearCritical Skills
At Voya, we have identified the following critical skills which are key to success in our culture:Customer Focused: Passionate drive to delight our customers and offer unique solutions that deliver on their expectations.Critical Thinking: Thoughtful process of analyzing data and problem solving data to reach a well-reasoned solution.Team Mentality: Partnering effectively to drive our culture and execute on our common goals.Business Acumen: Appreciation and understanding of the financial services industry in order to make sound business decisions.Learning Agility: Openness to new ways of thinking and acquiring new skills to retain a competitive advantage.Equal Employment Opportunity
Voya Financial is an equal-opportunity employer. Voya Financial provides equal opportunity to qualified individuals regardless of race, color, sex, national origin, citizenship status, religion, age, disability, veteran status, creed, marital status, sexual orientation, gender identity, genetic information, or any other status protected by state or local law.Reasonable Accommodations
We are committed to maintaining a diverse workforce. This commitment governs all decisions related to employment, including selection, development and compensation. It also includes an employee’s request for reasonable accommodation. All employees will be treated in a manner free from discrimination or harassment. Voya is committed to providing equal employment opportunities for persons with disabilities, including reasonable accommodation when needed.
#J-18808-Ljbffr