Data Systems Engineer - Springdale, AR - Full-Time, Permanent/W2 - $70,000 - $85,000

Organization Description

Springdale is a part of the Northwest Arkansas (NWA) metropolitan area and region within the Ozark Mountains. Nearby cities include Fayetteville, Rogers, and Bentonville. It is the 13th fastest growing metropolitan area in the United States. Growth is driven by several Fortune 500 companies, including the company, as well as over 1,300 suppliers and vendors drawn to the region by these large businesses. NWA amenities include the Crystal Bridges Museum of American Art, Walmart AMP and Razorback Regional Greenway. 

Our Springdale facility is located in the 4th largest city in the state of Arkansas. Located in both Washington and Benton counties, our city is a diverse and friendly community. Catch a ride on the beautifully restored Arkansas and Missouri Railroad or visit the Shiloh Museum of Ozark History. Outdoor enthusiasts flock to the scenic waters of Beaver Lake for water sports and relaxation, and the multitude of parks and trails of the Ozarks. Home to the Randal Tyson Recreational Complex and the Botanical Gardens of the Ozarks, Springdale offers many unique world-class attractions. See more about Springdale here: explorespringdale.com.

Employer Description

Our company, a Fortune 500 company, is a leading provider of aluminum sheet, plate and extrusions, as well as innovative architectural products, that advance the automotive, aerospace, commercial transportation, industrial and building and construction markets. Building on more than a century of innovation, the company helps to transform the way we fly, drive, and build. We are proud that 77% of our employees are happy working for the company and would recommend it as a great place to work and that 80% of our employees would recommend their managers to others. 

We live our core values and commit to delivering sustainable value to our customers, our employees, our communities and our stakeholders. 

At our company, we: 

Act With Integrity. 

We lead with respect, honesty, transparency and accountability. 

Safeguard our Future. 

We protect and improve the health and safety of our employees, communities and environment. 

Grow Stronger Together. 

We cultivate an inclusive and diverse culture that advocates for equity. 

Earn Customer Loyalty. 

We build customer partnerships through best-in-class products and service. 

Drive Operational Excellence. 

We pursue continuous improvement through innovation, agility, people development and collaboration. 

Create Value. 

We achieve success by generating and growing value for our stakeholders. 

United States Equal Employment Opportunity Statement

Our company is an equal opportunity employer that is committed to inclusion and diversity. We take action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.

Job Description

Our company is currently in search of a Data Systems Engineer to join our Kawneer Team in Springdale, AR.

At our company, we are looking for people who share our values of integrity, inclusion, and diversity, and who demonstrate agility, results commitment, and the capability to grow themselves and others. In return, we offer the opportunity to Grow Together with ongoing opportunities for professional growth provided by a constantly changing environment, working alongside employees who value the people they work with just as much as the work they do.

Job Description

This position is accountable for the development of data analytic strategies and systems capable of increasing the efficiency and problem-solving capabilities within BCS.

Description - External

Organize, construct, and deploy systems capable of analyzing and displaying large amounts of data in formats that meet the organizational requirements.

Lead technical projects with diverse teams while staying on-time and within budget.

Communicate processes and findings effectively at all levels of the organization.

Engage the organization deeper into problem solving efforts utilizing performance metrics, cost components, quality data, design parameters, machine parameters, process characteristics, etc., using various tools including but not limited to:

Business Intelligence Suites

Databases

Reporting Tools

Statistical Analytical Software

Perform “what if” analysis and communicate recommendations to both operational and IT leaders.

Collaborate with other Engineers and IT resources to maximize use of manufacturing systems.

Identify and correct data limitations (e.g. signal / noise ratio, sample size, inconsistencies, missing values, corruption, etc.).

Design and implement dashboards and key metric scorecards.

Determine potential causes of problems and devise data testing methodologies for validation.

Search and probe questions with peers and process experts that ultimately leads to action and recommendations.

Guide and direct small teams to achieve project objectives including the set up and execution of smart manufacturing deployment across multiple locations. 

Streamline and improve existing data analytics tools within the continuous improvement processes and systems.

Use data, best practices and Kaizen methodologies to increase process efficiency and reduce operational cost.

Qualifications

Basic Qualifications:

Bachelor’s Degree required.

Minimum of 2 years of experience with data systems processes and improvement strategies

At least 1 year experience in one or more of the following: Matlab, Statistics and Machine Learning, Neural Networks, R, Capstone DataPARC, modeFrontier, Azure, Power BI, Crystal Reports, SQL, SQL Report building Software, .Net or equivalents.

At least 1 year Microsoft Office experience especially with Teams, Excel and Powerpoint

Legally authorized to work in the US without company sponsorship provided. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position. 

Preferred Qualifications:

Bachelor’s Degree in Engineering, Data Science or related field.

Experience in various data systems and the ability to tailor and present data analytics methods and findings to leadership to drive effective decision making.

Strong analytical and problem-solving skills with the ability to develop and use structured approaches to identify root causes and recommend solutions.

Good verbal and written communication skills.

Experience with SMART Manufacturing or Industry 4.0.

To Apply, Please Complete the Form below;

SQL Developer II - USA, Remote - $75,000 - $90,000

SQL Developer II

USA, Remote

$75,000 - $90,000

The work we do has an impact on millions of lives, and you can be a part of it.

We help protect our customers against life’s uncertainties. Regardless of where you work within the company, you’ll be helping provide protection and peace of mind when our customers need it most.

The Engineer II App Dev will work as part of the Data & Reporting team under the direction of the Director of App Dev  and under the general guidance of a Lead App Dev Engineer. The position relies on experience and judgment to support, enhance and create Information Delivery solutions, requiring a broad degree of independence, knowledge and problem solving skills.

The ideal candidate for the EDID is a technical resource that has experience building comprehensive data solutions (cubes, dashboards, visualizations, reports/extracts, etc.) to present data from multiple source systems or models, transform data according to Business Rules and MDM, work with the Enterprise Data team to assure attributes are properly governed and also loaded into operational and presentation models.  The role is required to analyze sources of data, determine optimal reporting methodologies, map and model to operational and presentation layer data models, identify enhancements, and other needs relative to the Enterprise Data Services area.  The role additionally has input into Enterprise Data Services architecture, procedures and workflow.  The role is also expected to have a business acumen in order to provide effective and efficient solutions.  Individuals in this role are expected to have the ability to multitask on various projects and priorities and keep them all moving forward.  The role influences others in ITthrough sharing of specialized Enterprise Data Services technical knowledge. This role is expected to support and expand a culture of operational excellence. 

This position requires a technical individual that has the ability to communicate clearly with other IT professionals using technically sound terminology and excellent communication skills.

The ideal candidate will be a self starter working in a fairly autonomous environment.  They will need to have experience coding technically sound solutions following industry best practices specifically around Enterprise data presentation solutions.  This candidate will have the ability to work on multiple workstreams at any given time.  The candidate will possess institutional knowledge of the insurance and Enterprise Data Services industries in order to craft the most effective and efficient solutions for the business.  The ability to understand complex business needs, logical problem solving skills, and strong written and verbal communication skills are required.  Additionally, anunderstanding of database methodology and the MS BI stack are required.  

Reponsibilities:

o   Simultaneously address multiple units of work within a given timeframe/sprint to ensure timeline is adhered to, quality requirements are followed and acceptance criteria is met.

o   Use Microsoft BI stack (SQL, SSIS, SSRS, SSAS) to develop Data Integration solutions as part of the continued development and maturation of the Enterprise Data assets

o   Work with the Enterprise Data Services team to assure attributes are properly managed and governed via the Enterprise Data Governance process

o   Assure Data Integration solutions follow the department’s software development lifecycle processes and that all required artifacts and documentation have been created to support a seamless migration to the Enterprise Data Operations Support team

o   Demonstrate experience with ETL Methodologies, Incident Management, Change Management, Problem Management and Project Management Disciplines

o   Deploy solutions with written implementation, test and back-out plans according to the change control process

o   Drive and own the necessary development tasks to support functional specifications

o   Provide assistance to tier 4 support for Enterprise Data Assets and other legacy data stores/solutions. (Note: Tier 1 support is our NOC, tier 2 support is off-shore, tier 3 support is onshore and tier 4 support are our Sr. and Lead Data Integration developers)

o   Demonstrate a fundamental understanding of Enterprise Data Assets and other legacy data stores/solutions architecture, processes and flow

o   Apply our Enterprise Data Services standards in all development to ensure consistency and quality of work product

o   Work within an agile environment following sprint commitments and release schedules

o   Additional Duties:

o   Actively participate in team meetings to support the group

o   Actively participate in the culture of excellence as part of a BI delivery team

o   Actively participate in team design reviews and co-operative architecture design sessions

o   Work directly with Sr Enterprise Information Delivery Developers, Enterprise Business Intelligence 

o   & Analytics Developers and Enterprise Business/Data Analysts on data requirements and quality assurance

o   Work efficiently and Effectively to ensure successful and timely completion of assigned project deliverables

o   Work with manager to effectively define and manage toward goals that impact personal, team and company related objectives 

o   Create and manage timelines for all Enterprise Data Integration team members

o   Drive and manage meetings that sole purpose is to communicate status of an individual team member’s project workload 

Work Experience, Education, Certification / Training Required:

o   Bachelor’s degree or equivalent certifications / experience required

o   2+ years IT development experience required.  Operational and/or Incident management experience a plus

o   1+ years of Business Intelligence application delivery using the Microsoft Business Intelligence stack (SSIS, SQL Server) a plus

o   Fundamental understanding of relational and dimensional databases required

o   Fundamental database and SQL experience required.  Microsoft T-SQL preferred

o   Experience working on a project team using a waterfall and/or agile SDLC methodology required (Agile preferred)

o   Hands on experience with Microsoft SQL Server preferred.  SQL Server 2012 Required and 2016 a plus

o   Experience in the Insurance industry and/or LOMA coursework; ALMI designation a plus

o   ITIL Foundation V3 Certification a plus

Knowledge, Skills and Abilities Required:

o   Strong aptitude to pick up new skills and knowledge through research and perserverance

o   The adaptability to work in an everchanging and dynamic environment

o   Ability to think outside the box to provide innovative solutions 

o   Self-starter that can initiate research and/or contact with others in order to solve issues 

o   Embrace team environment and success

o   Technically capable to perform job responsibilities and passion for technical growth

o   Willingness not only to understand the technical nature of the task, but to build the subject domain knowledge around why the task is being done and how the results are being utilized by the business

o   Strong communication skills

The roles targeted salary range for this position is $75,000 to $90,000. Actual salaries may vary depending on factors, including but not limited to, job location, skills, and experience. The range listed is just one component of our companies total compensation package for employees.

This position also offers additional incentive opportunities through an annual incentive based on individual and Company performance.

Employee Benefits:  

We aim to protect our employees' wellbeing through a broad benefits offering. For example, we protect physical wellbeing through health, dental and vision insurance. We protect mental wellbeing through mental health benefits and an employee assistance program. We protect time away from work with a variety of paid time away benefits (e.g., paid time off, paid parental leave, short-term disability, and a cultural observance day). We protect financial wellbeing through contributions to healthcare accounts, a pension plan, and a 401(k) plan with Company matching. All employees are encouraged to protect their overall wellbeing by engaging in ProHealth Rewards, our company platform to improve wellbeing while earning cash rewards.  

Eligibility for certain benefits may vary by position in accordance with the terms of the Company’s benefit plans.

Diversity and Inclusion:

We are committed to providing an inclusive culture where all employees are able to fully contribute and thrive. Our goal is to grow and develop our people, attract diverse talent and support strong, diverse communities.

We support diversity, equity, and inclusion by working to develop a culture of inclusion and belonging led by leaders who develop potential and embrace unique skills and abilities. Our aim is to create an equitable and accountable environment for all leaders and employees that will drive performance and impact business strategy. In this way, we can increase overall diversity for leadership roles and pipelines of talent by maturing our hiring practices, robust development opportunities and focus on retention of key talent.

We are proud to be an equal opportunity employer committed to being inclusive and attracting, retaining, and growing the talents of a diverse and inclusive workforce.

Senior Data Engineer - USA, Remote - $110,560 to $155,840

Senior Data Engineer

USA, Remote

$110,560 to $155,840

Job Description

You are a driven and motivated problem solver ready to pursue meaningful work. You strive to make an impact every day & not only at work, but in your personal life and community too. If that sounds like you, then you've landed in the right place.

The Data Science AI Factory team is committed to exploring new ways to use data and analytics to solve business problems.  The team utilizes a variety of data sources, with a strong focus on unstructured and semi-structured text using NLP to enhance outcomes related to claim, underwriting, operations and the customer experience. 

As a Sr. Data Engineer, you will be an established thought leader through close partnerships with expert resources to design, develop, and implement data assets for a wide range of new initiatives across multiple lines of business. The role involves heavy data exploration, proficiency with SQL and Python, knowledge of service-based deployments and APIs, and the ability to discover and learn quickly through collaboration.  There is a need to think analytically and outside of the box while questioning current processes and continuing to build on the individual’s business acumen.

There will be a combination of team collaboration and independent work efforts.  We seek candidates with strong quantitative background and excellent analytical and problem-solving skills. This position combines business and technical skills involving interaction with business customers, data science partners, internal and external data suppliers and information technology partners.

Responsibilities

• Identify and validate internal and external data sources for availability and quality. Work with SME’s to describe and understand data lineage and suitability for a use case.

• Create data assets and build data pipelines that align to modern software development principles for further analytical consumption. Perform data analysis to ensure quality of data assets.

• Create summary statistics/reports from data warehouses, marts, and operational data stores.

• Extract data from source systems, and data warehouses, and deliver in a pre-defined format using standard database query and parsing tools.

• Understand ways to link or compare information already in our systems with new information.

• Perform preliminary exploratory analysis to evaluate nulls, duplicates and other issues with data sources.

• Work with data scientists and knowledge engineers to understand the requirements and propose and identify data sources and alternatives.

• Produce code artifacts and documentation using Github for reproducible results and hand-off to other data science teams.

• Propose ways to improve and standardize processes to enable new data and capability assessment and to enable pivoting to new projects.

• Understand data classification and adhere to the information protection and privacy restrictions on data.

• Collaborate closely with data scientists, business partners, data suppliers, and IT resources.

Experience & Skills

Candidates must have the technical skills to transform, manipulate and store data, the analytical skills to relate the data to the business processes that generates it, and the communication skills to document & disseminate information regarding the availability, quality, and other characteristics of the data to a diverse audience. These varied skills may be demonstrated through the following:

• Bachelor’s degree or equivalent experience in a related quantitative field

• 5 + years experience accessing and retrieving data from disparate large data sources, by creating and tuning SQL queries. Understanding of data modeling concepts, data warehousing tools and databases (e.g. Oracle, AWS, Snowflake, Spark/PySpark, ETL, Big Data, and Hive) 

• Demonstrated ability to create and deliver high quality Python code using software engineering best practices. Experience with object-oriented programming and software development a plus. Proficiency with Github and Linux highly desired.

• Ability to analyze data sources and provide technical solutions. Strong exploratory and problem-solving skills to check for data quality issues.

• Determine business recommendations and translate into actionable steps 

• Self-starter with curiosity and a willingness to become a data expert

• Demonstrate a passion to both learn new skills and lead discovery of the data research 

• Results oriented with the ability to multi-task and adjust priorities when necessary 

• Ability to work both independently and in a team environment with internal customers 

• Ability to articulate and train technical concepts regarding data to both data scientists and partners