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Junior Data Strategy Jobs in Kansas (NOW HIRING)

Data Engineer III

Leawood, KS · On-site

$111K - $133K/yr

... integration strategies, and governance practices that empower client's data-driven decisions ... Provide technical leadership and mentorship to junior data engineers, supporting code reviews ...

Data Architect

Kansas City, KS · Hybrid

$60 - $77.25/hr

... strategic, business-transforming technical solutions in IT service and support. We are seeking a ... Guide, Mentor and Lead Junior/emerging architects and developers. * Drive resolution with ...

Backup & Disaster Recovery: o Develop, test, and maintain backup strategies, replication, and ... Advanced Field Artillery Tactical Data System (AFATDS) * Joint Automated Deep Operations Control ...

Backup & Disaster Recovery: o Develop, test, and maintain backup strategies, replication, and ... Advanced Field Artillery Tactical Data System (AFATDS) * Joint Automated Deep Operations Control ...

Backup & Disaster Recovery: o Develop, test, and maintain backup strategies, replication, and ... Advanced Field Artillery Tactical Data System (AFATDS) * Joint Automated Deep Operations Control ...

Someone who can review a data model in the morning, present to management in the afternoon, and coach a junior analyst at the end of the day. At this team size, the manager must be both a strategic ...

Collaborate with cross-functional teams to translate data-driven insights into product and strategy ... Provide mentorship and share best practices with junior team members under the guidance of senior ...

You'll bring hands-on technical expertise, own project outcomes, and guide clients and junior team ... Design and implement Microsoft Purview solutions (e.g., sensitivity labeling strategies, advanced ...

You'll bring hands-on technical expertise, own project outcomes, and guide clients and junior team ... strategies, advanced DLP policies/integrations, Purview DSPM, data lifecycle/retention controls ...

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Junior Data Strategy information

What are the key skills and qualifications needed to thrive as a junior data strategy professional?

To thrive as a Junior Data Strategy professional, you need a solid foundation in data analysis, business acumen, and a relevant degree such as in statistics, business, or computer science. Familiarity with data visualization tools (like Tableau or Power BI), SQL, and analytics platforms is typically required. Strong communication, problem-solving abilities, and attention to detail help you translate data insights into actionable business recommendations. These competencies ensure you can effectively support data-driven decision-making and contribute to organizational strategy.

What is the difference between Junior Data Strategy vs Data Analyst?

AspectJunior Data StrategyData Analyst
Required CredentialsBachelor's in Business, Data Science, or related field; some certificationsBachelor's in Statistics, Mathematics, or related field; often similar certifications
Work EnvironmentCollaborative teams, strategic planning, cross-departmental projectsData collection, cleaning, analysis, reporting
Employer & Industry UsageBusiness strategy teams, consulting firms, tech companiesFinance, healthcare, marketing, tech industries

Junior Data Strategy roles focus on supporting strategic initiatives and planning using data insights, often working closely with business teams. Data Analysts primarily analyze data sets to generate reports and insights. While both roles require similar educational backgrounds and certifications, Junior Data Strategists are more involved in strategic planning, whereas Data Analysts focus on data processing and analysis.

What are typical responsibilities and collaborative dynamics for a junior data strategy professional?

As a Junior Data Strategy professional, you'll often support senior team members by collecting, cleaning, and analyzing data to inform business decisions. You may help prepare reports, contribute to data-driven presentations, and assist in developing data governance policies. This role frequently involves collaborating with departments such as IT, marketing, and business analytics to ensure that data solutions align with organizational goals. It's common to participate in cross-functional meetings, where your input helps shape strategies for data usage across the company.

What does a junior data strategy professional do?

A Junior Data Strategy professional assists in analyzing data, developing strategies to leverage data for business goals, and supporting data-driven decision-making. They often work with more senior strategists to collect, clean, and interpret data, and help implement best practices for data management. Their role may involve creating reports, identifying trends, and supporting cross-functional teams to ensure effective use of data across the organization.

How much does a junior data strategy make?

A junior data strategy role typically offers a salary ranging from $50,000 to $70,000 annually, depending on location, industry, and experience. Entry-level professionals in data strategy often have skills in data analysis, SQL, and business intelligence tools, which can influence compensation levels.
What are the most commonly searched types of Data Strategy jobs in Kansas? The most popular types of Data Strategy jobs in Kansas are:

Data Engineer III

27Global

Leawood, KS • On-site

$111K - $133K/yr

Full-time

Posted 5 days ago


Job description

Description:

27Global is a rapidly growing company in the dynamic industry of software, cloud, and data engineering. We pride ourselves on the quality of the services we deliver, the clients we serve, and the strength of our culture. Our commitment to our employees is evidenced by our five Best Places to Work awards.


We’re looking for a Data Engineer III to join our team! You’ll be responsible for contributing to the design and development of enterprise data solutions that support analytics, business intelligence, and scalable applications. You’ll work closely with data and software architects, consultants and other engineers to deliver data models, integration strategies, and governance practices that empower client’s data-driven decisions.


Joining 27Global as a Data Engineer III is an exciting high-growth opportunity offering a competitive base salary, performance bonuses, and variable compensation.


Your Role:

  • Lead the design and development of scalable, secure, and high-performance data architectures that support enterprise analytics and operational workloads.
  • Design, implement, and optimize data pipelines and integration frameworks for batch, streaming, and real-time processing.
  • Partner with data architects and technical leadership to define standards, patterns, and best practices for data modeling, governance, and platform design.
  • Develop and maintain conceptual, logical, and physical data models to support evolving business requirements and enterprise data strategies.
  • Contribute to the architecture and evolution of modern data platforms including data lakes, lakehouses, and cloud-native data warehouses.
  • Lead efforts to optimize data pipelines that support AI, machine learning, and advanced analytics workloads.
  • Implement and productionize feature engineering pipelines, model data pipelines, and real-time inference capabilities.
  • Integrate AI/ML models into production environments using tools such as AWS SageMaker, Azure Machine Learning, or Databricks.
  • Provide technical leadership and mentorship to junior data engineers, supporting code reviews, design discussions, and engineering best practices.
  • Collaborate with engineers, analysts, architects, and business stakeholders to align data solutions with organizational goals.
  • Evaluate emerging technologies and recommend improvements to data platform architecture, performance, and scalability.
  • Participate in architecture discussions and contribute to enterprise data strategy, ensuring solutions align with long-term platform goals.


Requirements:

What You Bring:

  • BA/BS/Master’s degree in Computer Science, Information Systems, Data Science, or related field.
  • 5–8 years of experience in data engineering, data architecture, or related roles delivering scalable data platforms from design through production.
  • Strong experience developing software using .NET or other object-oriented programming languages in Agile environments.
  • Proven experience designing and implementing enterprise-scale data pipelines and cloud-based data platforms.
  • Proficient technical skills in: Spark, Scala, C#, PySpark, Data Lake, Delta Lake, relational and NoSQL databases, AWS Glue, and Azure Synapse.
  • Advanced experience with SQL, ETL/ELT frameworks, and data modeling techniques.
  • Experience designing solutions on cloud platforms (AWS, Azure, GCP) including modern data lake and lakehouse architectures.
  • Working knowledge of data governance, security, and compliance frameworks.
  • Experience contributing to data architecture decisions, platform design, and long-term data strategy.
  • Strong collaboration and leadership skills with the ability to guide technical teams and influence stakeholders.
  • Ability to context switch and work on a variety of projects over specified periods of time.
  • Ability to work at the 27Global office in Leawood, KS with hybrid work flexibility after 90 days, and occasionally onsite at client offices.
  • Flexibility to occasionally travel to client sites may be required, typically 1 week per quarter or less.
  • Legal authorization to work in the United States and the ability to prove eligibility at the time of hire.

Ways to Stand Out:

  • Certifications: AWS Solution Architect, Azure Data Engineer, Databricks Data Engineer.
  • Hands-on experience with Databricks for building and optimizing scalable data pipelines, Delta Lake, and Spark-based analytics.
  • Experience with big data technologies such as Spark and Kafka.
  • Experience with modern data warehouses (Snowflake, Redshift, BigQuery).
  • Familiarity with machine learning pipelines and real-time analytics.
  • Experience contributing to enterprise data architecture and governance initiatives.
  • Strong communication skills with the ability to present technical solutions to both engineering teams and business stakeholders.
  • Experience in client-facing consulting environments, helping guide data platform strategy and implementation.

Why 27G?

  • Four-time award winner of Best Place to Work by the Kansas City Business Journal.
  • A casual and fun small business work environment.
  • Competitive compensation, benefits, time off, profit sharing, and quarterly bonus potential.
  • Dedicated time for learning, development, research, and certifications.