Transamerica
Specialist Data Engineering (Philadelphia or Cedar Rapids)
Transamerica, Philadelphia, Pennsylvania, United States, 19255
Specialist, Data Engineering
The Specialist, Data Engineering is focused on the design and development of modern architectures to enable data-driven digital business across the enterprise. Helps define data strategies, grow capabilities, and develop the enterprise data platform by providing technology leadership, insight on new developments within the data engineering space, and guidance in architectural and design decisions. Responsibilities:
Work collaboratively with other engineers, data scientists, analytics teams, scrum masters and business product owners in an agile environment. Architect, build and support the operation of Cloud and On-Premises enterprise data infrastructure and tools. Design robust, reusable and scalable data driven solutions and data pipeline frameworks to automate the ingestion, processing and delivery of both structured and unstructured batch and real-time streaming data. Lead the development of data APIs and data delivery services to support critical operational processes, analytical models and machine learning applications. Lead the selection and integration of data related tools, frameworks and applications required to expand our platform capabilities. Understand and implement best practices in management of enterprise data, including master data, reference data, metadata, data quality and lineage. Participate in an Agile implementation and maintenance of source control and release procedures. Be an effective communicator while interacting with technical and non-technical audiences Communicate with business stakeholders to understand goals and translate them to technical solution architecture and requirements Have an iterative, collaborative and transparent approach to building technical solutions and data products Lead and mentor other data engineers to follow best engineering practices Produce technical solutions that satisfy business requirements with a focus on scalability, stability, efficiency, maintainability and extensibility Qualifications:
Bachelor's degree in computer science, math, engineering, or relevant technical field Six years of collective experience in the application of data engineering, data modeling, data analytics, data warehousing, business intelligence, database administration and data integration concepts and methodologies Five years of experience architecting, building, and administering big data and real-time streaming analytics architectures in on premises and cloud environments using but not limited to technologies like Kinesis, Apache Kafka, Apache Spark Four years of experience architecting, building, and administering large-scale distributed applications frameworks like Spark, Hadoop etc. Three years of experience with Linux operations and development, including basic commands and shell scripting Three years of experience executing DevOps, DevSecOps methodologies and continuous integration/continuous delivery Strong understanding of ETL concepts and REST-oriented APIs for creating and managing data integration jobs. Experience with AWS services like Lambda, EC2, EMR, EKS, Redshift, Glue, S3, IAM, RDS, Aurora, DynamoDB etc. Knowledge of cloud networking, security, storage, and compute services Infrastructure provisioning experience using Cloud Formation, Terraform etc. Data Modeling experience in NoSQL databases like Dynamo DB, Cassandra Demonstrated skills in detailed-oriented delivery management Expertise in SQL for data profiling, analysis, and extraction Familiarity with data science techniques and frameworks Results oriented and with a strong customer focus Creative thinker with strong analytical and problem-solving skills Ability to prioritize work to meet tight deadlines Ability to learn and keep pace with the latest technology advances and quickly grasp new technologies to support the environment and contribute to project deliverables Preferred Qualifications:
Master's degree in a technical field (e.g. computer science, math, engineering) Software development experience in relevant programming languages (e.g. Java, Python, Scala, Node.js) Understanding of big data and real time streaming analytics processing architecture and data lake ecosystems Experience with data warehousing architecture and implementation, including hands on experience with source to target mappings and developing ETL code Experience with advanced analytics and machine learning concepts and technology implementations Experience with data analysis and using data visualization tools to describe data Experience with implementing RESTful APIs and Micro services using the design-first approach and focused on asset reusability Relevant technology or platform certification (AWS Solutions Architect Associate or AWS Data Engineer or AWS Solutions Architect Professional) Working Conditions:
Remote office environment with ability to come into the office on occasion (Philadelphia or Cedar Rapids) Moderate travel (under 10% expected) Compensation:
The Salary for this position generally ranges between $130,000 - $150,000 annually. Please note that the salary range is a good faith estimate for this position and actual starting pay is determined by several factors including qualifications, experience, geography, work location designation (in-office, hybrid, remote) and operational needs. Salary may vary above and below the stated amounts, as permitted by applicable law. Additionally, this position is typically eligible for an Annual Bonus based on the Company Bonus Plan/Individual Performance and is at the Company's discretion. This job description is not a contract of employment nor for any specific job responsibilities. The Company may change, add to, remove, or revoke the terms of this job description at its discretion. Managers may assign other duties and responsibilities as needed. In the event an employee or applicant requests or requires an accommodation in order to perform job functions, the applicable HR Business Partner should be contacted to evaluate the accommodation request. What We Offer:
For eligible employees, we offer a comprehensive benefits package designed to support both the personal and financial well-being of our employees. Compensation Benefits: Competitive Pay Bonus for Eligible Employees Benefits Package: Pension Plan 401k Match Employee Stock Purchase Plan Tuition Reimbursement Disability Insurance Medical Insurance Dental Insurance Vision Insurance Employee Discounts Career Training & Development Opportunities Health and Work/Life Balance Benefits: Paid Time Off starting at 160 hours annually for employees in their first year of service. Ten (10) paid holidays per year (typically mirroring the New York Stock Exchange (NYSE) holidays). Be Well Company holistic wellness program, which includes Wellness Coaching and Reward Dollars. Parental Leave
fifteen (15) days of paid parental leave per calendar year to eligible employees with at least one year of service at the time of birth, placement of an adopted child, or placement of a foster care child. Adoption Assistance Employee Assistance Program College Coach Program Back-Up Care Program PTO for Volunteer Hours Employee Matching Gifts Program Employee Resource Groups Inclusion and Diversity Programs Employee Recognition Program Referral Bonus Programs Inclusion & Diversity:
We believe our commitment to diversity and inclusion creates a work environment filled with exceptional individuals. We're thrilled to have been recognized for our efforts through the Human Rights Campaign Corporate Equality Index, Dave Thomas Adoption Friendly Advocate, and several Seramount lists, including the Inclusion Index, 100 Best Companies for Working Parents, Best Companies for Dads, and Top 75 Companies for Executive Women. To foster a culture of inclusivity throughout our workforce, workplace, and marketplace, Transamerica offers a wide range of diversity and inclusion programs. This includes our company-sponsored, employee-driven Employee Resource Groups (ERGs), which are formed around a shared interest or a common characteristic of diversity. ERGs are open to all employees. They provide a supportive environment to help us better appreciate our
The Specialist, Data Engineering is focused on the design and development of modern architectures to enable data-driven digital business across the enterprise. Helps define data strategies, grow capabilities, and develop the enterprise data platform by providing technology leadership, insight on new developments within the data engineering space, and guidance in architectural and design decisions. Responsibilities:
Work collaboratively with other engineers, data scientists, analytics teams, scrum masters and business product owners in an agile environment. Architect, build and support the operation of Cloud and On-Premises enterprise data infrastructure and tools. Design robust, reusable and scalable data driven solutions and data pipeline frameworks to automate the ingestion, processing and delivery of both structured and unstructured batch and real-time streaming data. Lead the development of data APIs and data delivery services to support critical operational processes, analytical models and machine learning applications. Lead the selection and integration of data related tools, frameworks and applications required to expand our platform capabilities. Understand and implement best practices in management of enterprise data, including master data, reference data, metadata, data quality and lineage. Participate in an Agile implementation and maintenance of source control and release procedures. Be an effective communicator while interacting with technical and non-technical audiences Communicate with business stakeholders to understand goals and translate them to technical solution architecture and requirements Have an iterative, collaborative and transparent approach to building technical solutions and data products Lead and mentor other data engineers to follow best engineering practices Produce technical solutions that satisfy business requirements with a focus on scalability, stability, efficiency, maintainability and extensibility Qualifications:
Bachelor's degree in computer science, math, engineering, or relevant technical field Six years of collective experience in the application of data engineering, data modeling, data analytics, data warehousing, business intelligence, database administration and data integration concepts and methodologies Five years of experience architecting, building, and administering big data and real-time streaming analytics architectures in on premises and cloud environments using but not limited to technologies like Kinesis, Apache Kafka, Apache Spark Four years of experience architecting, building, and administering large-scale distributed applications frameworks like Spark, Hadoop etc. Three years of experience with Linux operations and development, including basic commands and shell scripting Three years of experience executing DevOps, DevSecOps methodologies and continuous integration/continuous delivery Strong understanding of ETL concepts and REST-oriented APIs for creating and managing data integration jobs. Experience with AWS services like Lambda, EC2, EMR, EKS, Redshift, Glue, S3, IAM, RDS, Aurora, DynamoDB etc. Knowledge of cloud networking, security, storage, and compute services Infrastructure provisioning experience using Cloud Formation, Terraform etc. Data Modeling experience in NoSQL databases like Dynamo DB, Cassandra Demonstrated skills in detailed-oriented delivery management Expertise in SQL for data profiling, analysis, and extraction Familiarity with data science techniques and frameworks Results oriented and with a strong customer focus Creative thinker with strong analytical and problem-solving skills Ability to prioritize work to meet tight deadlines Ability to learn and keep pace with the latest technology advances and quickly grasp new technologies to support the environment and contribute to project deliverables Preferred Qualifications:
Master's degree in a technical field (e.g. computer science, math, engineering) Software development experience in relevant programming languages (e.g. Java, Python, Scala, Node.js) Understanding of big data and real time streaming analytics processing architecture and data lake ecosystems Experience with data warehousing architecture and implementation, including hands on experience with source to target mappings and developing ETL code Experience with advanced analytics and machine learning concepts and technology implementations Experience with data analysis and using data visualization tools to describe data Experience with implementing RESTful APIs and Micro services using the design-first approach and focused on asset reusability Relevant technology or platform certification (AWS Solutions Architect Associate or AWS Data Engineer or AWS Solutions Architect Professional) Working Conditions:
Remote office environment with ability to come into the office on occasion (Philadelphia or Cedar Rapids) Moderate travel (under 10% expected) Compensation:
The Salary for this position generally ranges between $130,000 - $150,000 annually. Please note that the salary range is a good faith estimate for this position and actual starting pay is determined by several factors including qualifications, experience, geography, work location designation (in-office, hybrid, remote) and operational needs. Salary may vary above and below the stated amounts, as permitted by applicable law. Additionally, this position is typically eligible for an Annual Bonus based on the Company Bonus Plan/Individual Performance and is at the Company's discretion. This job description is not a contract of employment nor for any specific job responsibilities. The Company may change, add to, remove, or revoke the terms of this job description at its discretion. Managers may assign other duties and responsibilities as needed. In the event an employee or applicant requests or requires an accommodation in order to perform job functions, the applicable HR Business Partner should be contacted to evaluate the accommodation request. What We Offer:
For eligible employees, we offer a comprehensive benefits package designed to support both the personal and financial well-being of our employees. Compensation Benefits: Competitive Pay Bonus for Eligible Employees Benefits Package: Pension Plan 401k Match Employee Stock Purchase Plan Tuition Reimbursement Disability Insurance Medical Insurance Dental Insurance Vision Insurance Employee Discounts Career Training & Development Opportunities Health and Work/Life Balance Benefits: Paid Time Off starting at 160 hours annually for employees in their first year of service. Ten (10) paid holidays per year (typically mirroring the New York Stock Exchange (NYSE) holidays). Be Well Company holistic wellness program, which includes Wellness Coaching and Reward Dollars. Parental Leave
fifteen (15) days of paid parental leave per calendar year to eligible employees with at least one year of service at the time of birth, placement of an adopted child, or placement of a foster care child. Adoption Assistance Employee Assistance Program College Coach Program Back-Up Care Program PTO for Volunteer Hours Employee Matching Gifts Program Employee Resource Groups Inclusion and Diversity Programs Employee Recognition Program Referral Bonus Programs Inclusion & Diversity:
We believe our commitment to diversity and inclusion creates a work environment filled with exceptional individuals. We're thrilled to have been recognized for our efforts through the Human Rights Campaign Corporate Equality Index, Dave Thomas Adoption Friendly Advocate, and several Seramount lists, including the Inclusion Index, 100 Best Companies for Working Parents, Best Companies for Dads, and Top 75 Companies for Executive Women. To foster a culture of inclusivity throughout our workforce, workplace, and marketplace, Transamerica offers a wide range of diversity and inclusion programs. This includes our company-sponsored, employee-driven Employee Resource Groups (ERGs), which are formed around a shared interest or a common characteristic of diversity. ERGs are open to all employees. They provide a supportive environment to help us better appreciate our