Description

At Butler/Till, we take immense pride in our independent, women-owned and led status, our unwavering commitment to a purpose-driven approach, and our unique structure as a 100% employee-owned company.

Our dedication to Diversity, Equity, Inclusion, and Belonging (DEIB) is a cornerstone of our culture. We believe that the 

diversity and inclusivity of our workforce are sources of strength. As you become part of our community, you'll discover 

that we are dedicated to creating a positive impact, not only for our clients but also for the communities where we live and 

work.

SUMMARY 

The Data Engineer is a hybrid role, combining the core competencies of data engineering with business intelligence 

techniques to support our client’s reporting needs with high agility. The role works closely with information analysts to plan 

and support the creation of reports, analysis, extracts, and data marts that feed directly into Power BI. This position 

concentrates on SQL, Python, and data processing within cloud environments (Snowflake, Azure), but also understands both 

Power BI and the marketing platforms that the source data derives from for Quality Assurance purposes. This role works to 

automate ad hoc processes, document ETL steps, and manage database schemas as well as acts as a mentor to junior level 

staff, performing training, code reviews, and providing feedback to improve their deliverables.

IMPROVED ORGANIZATION & PRODUCTIVITY 

Outcome: Effective data management fuels organization, productivity, and automation. Enabling internal consumers 

access to trusted data for running queries, developing strategic insights, and delivering standardized outputs. Adding 

value to our external customers and improving the bottom line. 

• Collaborates with the Director, and with internal and external stakeholders, to capture requirements, 

architect, scope, standardize, and document Butler/Till’s data frameworks. 

• Writes SQL scripts for creation, support, and automation of standardized, scalable, and client specific data 

marts. 

• As opportunities arise, works with other departments to create solutions to improve agency efficiency. 

• Works closely with B/T’s Analysts, Media, and Account teams to understand our clients’ data needs and 

the standardization of campaign/ad naming conventions across clients. 

• Maintains documentation on existing data policies, database schemas, metadata and ETL processes and 

creates proof of concept (POC) designs for strategic initiatives. 

INCREASED RELIABILITY 

Outcome: Data Engineering minimizes potential errors by establishing processes and policies for usage and building trust 

in the data being used to make decisions across the organization. With reliable, up-to-date data, our teams can respond 

more efficiently to market changes and customer needs. 

• Support QA processes of data, acting as a 1st line of defense of data integrity. 

• Partner with Software Engineering and Data Management for resolving tickets and processing files. 

• Maintain data flows in 3rd party applications that monitor data inconsistencies and deficits and alerts the 

team for corrective action.

• Act as a subject matter expert with respect to B/T’s data marts, along with the marketing platforms 

(Google, Facebook, etc.), and how that data is utilized in marketing analytics. 

• Provides guidance to junior level Data Engineers on QA best practices with live code reviews.

REDUCED RISK 

Outcome: Effective data engineering protects our enterprise from data losses, thefts, and breaches with authentication 

and encryption tools. Strong data security ensures that vital company information is backed up and retrievable should 

the primary source become unavailable. Also, security becomes more important if data contains personally identifiable 

information that must be carefully managed to comply with consumer protection laws. 

• The Data Engineer is familiar with data collection policies, both nationally and internationally (i.e., CCPA 

(California Consumer Privacy Act), GDPR). 

• Follows policies and standards for all supported data processes. 

• Compiles and analyzes data, processes, and database code to troubleshoot problems and identify areas 

for improved security. 

SCALABILITY 

Key Outcome: Data management allows organizations to effectively scale their usage of data with repeatable processes to 

keep data and metadata up to date. When processes are easy to repeat, organizations save time, money, and gain 

efficiency. 

• Prepare data for analytics and modeling, working closely with Information Analysts for creating client 

specific data marts that are easily repeatable for new and existing clients. 

• Works in no/low code solutions (such as Microsoft Power Automate & Excel), SQL, and Python to support 

scalable, full life cycle solutions to meet business needs. 

• Research opportunities to enhance the existing tech stack. Creates well-documented requirements for 

internal or external stakeholders. 

• Testing new software functionality (internal or external) and working with data engineering colleagues 

toward making agency-wide recommendations on future-proofing B/T’s offering. 

• Working with internal stakeholders to determine current and future needs and bringing them to data 

engineering colleagues for future projects. 

Requirements

REQUIRED:

• Bachelor’s degree in Computer Science, Information Technology, Statistics, Mathematics, 

Finance, or Economics.

• 3 years of data engineering experience.

• Detail-oriented with strong organizational, communication, computer, and office procedure 

skills.

• Excellent knowledge of SQL, database schemas, and analytics data marts.

• Experience working with Snowflake with admin-level permissions.

• Experience with data discovery, analytics, and BI software (e.g., Tableau, Qlik, PowerBI).

• Proficiency in Git and/or version control software (e.g., GitHub, GitLab, BitBucket).

• Familiarity with object-oriented programming languages (e.g., Python) and willingness to 

expand skills.

• Ability to understand and anticipate risks/dependencies across deliverables.

• Willingness to continuously learn and develop skill sets.

PREFERRED 

• Experience mentoring junior-level resources.

• Familiarity with SaaS systems (i.e., Datorama) and cloud environments (Azure, AWS, etc.).

• Passion for problem-solving and providing workable solutions.

• Experience working with both normalized and unnormalized data structures.

• Strong analytical and reasoning skills with an ability to visualize processes and outcomes.

CORE COMPETENCIES

• CUSTOMER FOCUS/CLIENT INTIMACY: seeking to understand client business challenges/needs and delivering 

continuous value to our clients

• COLLABORATIVE: working with teams and across the organization with ease

• OWNER AGILITY: able to continuously learn and quickly adapt to changing circumstance

• RESULTS DRIVEN: accepts accountability to deliver business outcomes, even under changing circumstances. Delivers 

on commitments

• DISCIPLINED: Thinks, plans, and prioritizes work on an ongoing basis, plans and aligns with key team members before 

acting

WORK ENVIORNMENT & PHYSICAL DEMANDS

The work environment and physical demands characteristics described here are representative of those an employee 

encounters while performing the essential functions of this job, typically in an office setting or in a home office. An 

employee in this role may be in a stationary position, often standing or sitting for prolonged periods and using office 

equipment and computers. The noise level in the office environment is usually moderate. (I.e., business office with 

computers and printers, light foot traffic, etc.). 

Reasonable accommodation may be requested to enable individuals to perform the essential functions. 

EEO DISCLAIMER

Butler/Till is an Equal Opportunity Employer to all employees and applicants and prohibits discrimination and harassment of 

any kind without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, 

sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. 

This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, 

layoff, recall, transfer, leaves of absence, compensation, and training