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Posted : Thursday, November 02, 2023 03:41 PM
We are currently looking for a Data Engineer I to join our team at WoodmenLife.
As a Data Engineer I at WoodmenLife, you will be responsible for finding trends in data sets and developing algorithms to help make raw data more useful to the enterprise.
You will help transform data into a format that can be easily analyzed.
You will also develop, maintain, and test infrastructures for data generation.
During your tenure, you will work with our data conversion team to convert data out of our legacy systems and into our new systems of record.
If you enjoy working closely with data scientists and others who analyze data for trending, forecasting, predictive analysis, etc.
then this might be the position for you.
If you can utilize a significant set of technical skills, including a deep knowledge of database design and multiple programming languages, you will be a good fit for this position.
Why would you enjoy working as a Data Engineer I for our team? This is an awesome opportunity for the right person.
We are looking for someone who really loves to create solution mapping from the ground up.
You will be working with legacy technology, but soon you will be moving into some really cool tools.
If you have worked with SSIS packages or Azure Data Factory, this would be an ideal position for you to use those skills to grow your career with WoodmenLife.
This position will be working on our HIGHEST priority when it comes to IT.
We are looking for your passion, vision, desire, and experience to join our team.
You will be working with some of the best people in town.
We are looking for someone who is focused on providing great customer support and creating excellent solutions.
This position will create an impact and lift our team, no doubt! If you consider yourself to be a top performer with the desire to make a difference every day, this would be a great fit for you! We are looking for your experience, your talent, your input, and your ideas to bring to our WoodmenLife family.
WoodmenLife is one of the best places to work in Omaha and has been in business for 130 years.
As a member of the WoodmenLife family, you’re joining others who share your commitment to family, community, and country.
Through WoodmenLife, you’ll have opportunities to connect with others, give back locally, and honor those who make an impact.
As a not-for-profit life insurance company, we’ve been helping to protect the financial future of families, making a difference in hometowns across America since 1890.
We are passionate about our members, serving others, being open-minded, and providing an environment of inclusion and collaborative spirit.
We also provide world-class benefits to our associates.
Is this the type of company you could work for? Here is a direct quote from the manager about this position: “You will be joining a dynamic and energized team in reaching our organizational goals of converting our mainframe systems to a distributed system in order to sunset our mainframe systems.
Team members communicate, collaborate, and coordinate their efforts to achieve our shared goals.
” What we are looking for: • Creates and maintains an optimal data pipeline architecture • Analyzes and understands data from source and target systems in order to convert different types of data from one system to another.
Gathers and analyzes data requirements, which includes data quality, proper data formatting and table structures, balancing of data, and data cleanliness issues • Creates SQL queries to compare data from the source system to the target system for conversion accuracy and quality and to meet audit requirements • Knowledge of data analysis using SQL-based tools • Ensure the creation and maintenance of Data Conversion documentation, including: • Writing database mapping requirements • Reviewing documentation in business areas • Assist with data conversion documentation for internal auditing • Assembles large, complex data sets that meet functional and non-functional business requirements • Identifies, designs, and implements internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Builds the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and ‘big data’ technologies • Builds analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics • Keeps data separated and secure across boundaries through multiple data sources and regions • Creates data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader • Understands the information needs of the enterprise, with an emphasis on executive information consumption and data that comes from or is provided to parties external to the enterprise • Participates as a member of the Enterprise Architecture Board, which helps develop the long-term vision of how to apply data decisions that support the organization’s strategy and leads initiatives that implement the appropriate data technology • Leverages internal and external data sources to enhance the consumer experience and create additional opportunities for sales • Collaborates with Solution Architects on architectural decisions to ensure solutions are designed for successful implementation within the vision of the enterprise architecture • Assists in technical discussions with vendors and provides input regarding data storage, consistency, and integrity considerations of the system • May work on more than one enterprise project, engaged up to 50% capacity performing execution activities • Ensures the team follows defined data security and data integrity processes throughout the product lifecycle to achieve delivery dates on time with quality • Ensures the adoption of standards used by engineers and developers to promote repeatable, successful projects • Performs other duties as assigned by management Minimum Qualifications This job requires a background that demonstrates the following minimum knowledge, skills, talents, and traits: • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL), as well as working familiarity with a variety of databases • Experience building and optimizing ‘big data’ data pipelines, architectures, and data sets • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement • Strong analytic skills related to working with unstructured datasets • Experience building processes supporting data transformation, data structures, metadata, dependency, and workload management • A successful history of manipulating, processing, and extracting value from large, disconnected datasets • Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores • Strong project management and organizational skills • Experience supporting and working with cross-functional teams in a dynamic environment • Ability to engage well with others and be passionate about providing an exemplary customer experience Desired Qualifications • Demonstrated experience using the following (preferred, not required) • Big data tools (e.
g.
, Hadoop, Spark, Kafka) • Relational SQL and NoSQL data sources (e.
g.
, MS SQL, MarkLogic, Snowflake, and Cassandra) • Data pipeline and workflow management tools (e.
g.
, Azkaban, Luigi, Airflow, and SSIS) • Cloud services (e.
g.
, EC2, EMR, RDS, Redshift) • Stream-processing systems (e.
g.
, Storm, Spark-Streaming) • Object-oriented/object-function scripting languages (e.
g.
, Python, Java, C++, Scala) • Knowledge of the insurance and financial services industry • Broad multi-platform, multi-technology development experience • Prior job experience as a data engineer or data architect is a plus • High level of data security awareness • Ability to motivate and gain acceptance for your ideas • Ability to define problems, establish facts, draw valid conclusions, and manage multiple project deadlines If WoodmenLife is the type of company you are looking for and this position is one that you could see yourself doing long-term, please apply online to see if it's the right fit for you.
WoodmenLife offers a competitive compensation package and a comprehensive benefits package (https://www.
woodmenlife.
org/careers/home-office/benefits/).
As part of WoodmenLife’s employment process, candidates will be required to complete a criminal background check, credit check (where required for position), fingerprint check (where required for position), drug screen, and reference checks.
Any offer of employment will be contingent upon successfully passing the above.
WoodmenLife is committed to excellence in diversity by creating an inclusive work environment that values and respects all individuals.
We welcome and embrace associates, regardless of background and beliefs.
WoodmenLife respects every associate’s unique perspective and contribution.
We are committed to creating an inclusive environment that values differences and creates opportunities for growth, leadership, and service.
This commitment includes providing equal opportunity in recruitment, employment and promotion, training, and community outreach.
WoodmenLife is also dedicated to strengthening the communities in which its employees live.
APPLICANTS WITH DISABILITIES SHOULD ADVISE THE HUMAN RESOURCES DEPARTMENT AT THE TIME OF APPLICATION IF SPECIAL ACCOMMODATIONS ARE NEEDED.
As a Data Engineer I at WoodmenLife, you will be responsible for finding trends in data sets and developing algorithms to help make raw data more useful to the enterprise.
You will help transform data into a format that can be easily analyzed.
You will also develop, maintain, and test infrastructures for data generation.
During your tenure, you will work with our data conversion team to convert data out of our legacy systems and into our new systems of record.
If you enjoy working closely with data scientists and others who analyze data for trending, forecasting, predictive analysis, etc.
then this might be the position for you.
If you can utilize a significant set of technical skills, including a deep knowledge of database design and multiple programming languages, you will be a good fit for this position.
Why would you enjoy working as a Data Engineer I for our team? This is an awesome opportunity for the right person.
We are looking for someone who really loves to create solution mapping from the ground up.
You will be working with legacy technology, but soon you will be moving into some really cool tools.
If you have worked with SSIS packages or Azure Data Factory, this would be an ideal position for you to use those skills to grow your career with WoodmenLife.
This position will be working on our HIGHEST priority when it comes to IT.
We are looking for your passion, vision, desire, and experience to join our team.
You will be working with some of the best people in town.
We are looking for someone who is focused on providing great customer support and creating excellent solutions.
This position will create an impact and lift our team, no doubt! If you consider yourself to be a top performer with the desire to make a difference every day, this would be a great fit for you! We are looking for your experience, your talent, your input, and your ideas to bring to our WoodmenLife family.
WoodmenLife is one of the best places to work in Omaha and has been in business for 130 years.
As a member of the WoodmenLife family, you’re joining others who share your commitment to family, community, and country.
Through WoodmenLife, you’ll have opportunities to connect with others, give back locally, and honor those who make an impact.
As a not-for-profit life insurance company, we’ve been helping to protect the financial future of families, making a difference in hometowns across America since 1890.
We are passionate about our members, serving others, being open-minded, and providing an environment of inclusion and collaborative spirit.
We also provide world-class benefits to our associates.
Is this the type of company you could work for? Here is a direct quote from the manager about this position: “You will be joining a dynamic and energized team in reaching our organizational goals of converting our mainframe systems to a distributed system in order to sunset our mainframe systems.
Team members communicate, collaborate, and coordinate their efforts to achieve our shared goals.
” What we are looking for: • Creates and maintains an optimal data pipeline architecture • Analyzes and understands data from source and target systems in order to convert different types of data from one system to another.
Gathers and analyzes data requirements, which includes data quality, proper data formatting and table structures, balancing of data, and data cleanliness issues • Creates SQL queries to compare data from the source system to the target system for conversion accuracy and quality and to meet audit requirements • Knowledge of data analysis using SQL-based tools • Ensure the creation and maintenance of Data Conversion documentation, including: • Writing database mapping requirements • Reviewing documentation in business areas • Assist with data conversion documentation for internal auditing • Assembles large, complex data sets that meet functional and non-functional business requirements • Identifies, designs, and implements internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Builds the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and ‘big data’ technologies • Builds analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics • Keeps data separated and secure across boundaries through multiple data sources and regions • Creates data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader • Understands the information needs of the enterprise, with an emphasis on executive information consumption and data that comes from or is provided to parties external to the enterprise • Participates as a member of the Enterprise Architecture Board, which helps develop the long-term vision of how to apply data decisions that support the organization’s strategy and leads initiatives that implement the appropriate data technology • Leverages internal and external data sources to enhance the consumer experience and create additional opportunities for sales • Collaborates with Solution Architects on architectural decisions to ensure solutions are designed for successful implementation within the vision of the enterprise architecture • Assists in technical discussions with vendors and provides input regarding data storage, consistency, and integrity considerations of the system • May work on more than one enterprise project, engaged up to 50% capacity performing execution activities • Ensures the team follows defined data security and data integrity processes throughout the product lifecycle to achieve delivery dates on time with quality • Ensures the adoption of standards used by engineers and developers to promote repeatable, successful projects • Performs other duties as assigned by management Minimum Qualifications This job requires a background that demonstrates the following minimum knowledge, skills, talents, and traits: • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL), as well as working familiarity with a variety of databases • Experience building and optimizing ‘big data’ data pipelines, architectures, and data sets • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement • Strong analytic skills related to working with unstructured datasets • Experience building processes supporting data transformation, data structures, metadata, dependency, and workload management • A successful history of manipulating, processing, and extracting value from large, disconnected datasets • Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores • Strong project management and organizational skills • Experience supporting and working with cross-functional teams in a dynamic environment • Ability to engage well with others and be passionate about providing an exemplary customer experience Desired Qualifications • Demonstrated experience using the following (preferred, not required) • Big data tools (e.
g.
, Hadoop, Spark, Kafka) • Relational SQL and NoSQL data sources (e.
g.
, MS SQL, MarkLogic, Snowflake, and Cassandra) • Data pipeline and workflow management tools (e.
g.
, Azkaban, Luigi, Airflow, and SSIS) • Cloud services (e.
g.
, EC2, EMR, RDS, Redshift) • Stream-processing systems (e.
g.
, Storm, Spark-Streaming) • Object-oriented/object-function scripting languages (e.
g.
, Python, Java, C++, Scala) • Knowledge of the insurance and financial services industry • Broad multi-platform, multi-technology development experience • Prior job experience as a data engineer or data architect is a plus • High level of data security awareness • Ability to motivate and gain acceptance for your ideas • Ability to define problems, establish facts, draw valid conclusions, and manage multiple project deadlines If WoodmenLife is the type of company you are looking for and this position is one that you could see yourself doing long-term, please apply online to see if it's the right fit for you.
WoodmenLife offers a competitive compensation package and a comprehensive benefits package (https://www.
woodmenlife.
org/careers/home-office/benefits/).
As part of WoodmenLife’s employment process, candidates will be required to complete a criminal background check, credit check (where required for position), fingerprint check (where required for position), drug screen, and reference checks.
Any offer of employment will be contingent upon successfully passing the above.
WoodmenLife is committed to excellence in diversity by creating an inclusive work environment that values and respects all individuals.
We welcome and embrace associates, regardless of background and beliefs.
WoodmenLife respects every associate’s unique perspective and contribution.
We are committed to creating an inclusive environment that values differences and creates opportunities for growth, leadership, and service.
This commitment includes providing equal opportunity in recruitment, employment and promotion, training, and community outreach.
WoodmenLife is also dedicated to strengthening the communities in which its employees live.
APPLICANTS WITH DISABILITIES SHOULD ADVISE THE HUMAN RESOURCES DEPARTMENT AT THE TIME OF APPLICATION IF SPECIAL ACCOMMODATIONS ARE NEEDED.
• Phone : NA
• Location : 1700 Farnam Street, Omaha, NE
• Post ID: 9082647449
