Analytics Engineer - Media

  • Spectrum,
  • Charlotte, NC
Analysis, API, Architecture, BI Tools, Configuration Management, Database, Hadoop, HTTP, JavaScript, Linux, Management, Microstrategy, NoSQL, Perl, Project, Python, Scripts, Shell Scripts, SQL, System Admin, Testing, Unix, Windows
Full Time
Work from home not available Travel not required

Job Description

Client Reference Code: 235955

Spectrum Reach ( ) grows businesses of all sizes with custom, multiscreen advertising solutions, backed by the power of TV, data, innovation, community experts, and unforgettable creative.


Responsible for maintaining scalable, reliable, consistent and repeatable systems that support data operations for Data Science by gathering and processing raw data at scale. Profiles data to measure quality, integrity, accuracy, and completeness and delivers solutions by developing, testing, and implementing code and scripts.


Actively and consistently supports all efforts to simplify and enhance the customer experience.

Create and maintain scalable, reliable, consistent and repeatable systems that support data operations for Data Science.

Gather and process raw data at scale (including writing scripts, web scraping, calling APIs, write SQL queries, etc.).

Using Big Data tools and frameworks, implement ETL processes in order to maintain, improve, clean, and manipulate data.

Profile data to measure quality, integrity, accuracy, and completeness.

Develop and implement tools, scripts, queries, and applications for ETL/ELT and data operations.

Design, build, and automate ML Data Pipeline.

Deliver solutions by developing, testing, and implementing code and scripts.

Produce reports and uphold data delivery schedules.

Manage life cycle of multiple data sources.

Work closely with stakeholders on the data demand side (analysts and data scientists).

Increase speed to delivery by implementing workload/workflow automation solutions.

Perform other duties as assigned.


Skills/Abilities and Knowledge

Strong coding/scripting experience using Python, Perl, shell scripts

Strong experience with SQL, Tableau, ML Pipeline techniques, and ETL techniques

Strong background in Linux/Unix/CentOS installation and administration; Windows experience preferred

Expertise in data storage that demonstrates knowledge of when to use a file system, relational database, or NoSQL variant

Strong experience with AWS architecture, Spark, and Hadoop/Hive

Ability to identify and resolve end-to-end performance, network, server, and platform issues

Attention to detail with the ability to effectively prioritize and execute multiple tasks


Bachelor's degree in an engineering discipline or computer science

Related Work Experience

Hands-on working experience with RDBMS, SQL, scripting, and coding (3+ yrs)

Linux/Unix/CentOS system admin (5+ yrs)


Skills/Abilities and Knowledge

Familiarity with JavaScript API, Rest API or Data Extract APIs

Familiarity with data workflow/data prep platforms, such as Alteryx, Pentaho, or KNIME

Familiarity with automation/configuration management, such as Airflow, Puppet, Chef or an equivalent

Knowledge of best practices and IT operations in an always-up, always-available service

Experience receiving, converting, and cleansing big data

Experience with visualization or BI tools, such as Tableau, Zoom data, Microstrategy, or anything Microsoft Power BI

Create proof of concept experiments for analytics, machine learning, or visualization tools that include hypothesis, test plans, and outcome analysis

Extensive leadership experience in advanced operational analytics

Windows experience


Office environment

Travel depending upon project needs

Job Code : EGN321 Data Engineer Exempt

Dice Id : appblok
Position Id : 3247_235955BR
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