Associate Systems Engineer, Data Management

Dell Technologies

Confirmed live today High trust
Remote

Quick summary

Work type
Remote
Location
NC
Salary
$126,650–$163,900 / yr
Posted
6 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $155k
This role $145k
$112k $193k
below market most similar roles pay here above market

This role pays less than 52% of similar roles. Most pay $124,750–$185,516 — the blue band above. At the midpoint, this role pays about $145k versus about $155k for comparable roles.

Based on 240 similar postings.

Employer

About Dell Technologies

Dell Technologies is a US-based technology company that designs and sells PCs, servers, storage and networking hardware, along with related software and IT services. Its product lines include the XPS, Latitude and Alienware PCs and the PowerEdge server and PowerStore storage families.

Dell Technologies currently has 102 open roles on FindRole.

Listed pay typically runs $174,000–$236,250 across 88 roles with salary data.

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At a glance

TL;DR · Associate Systems Engineer, Data Management

The Associate Systems Engineer, Data Management joins the Systems Engineering team to provide pre-sales technical support for field sales professionals. This role involves building relationships for sophisticated customer accounts, conducting needs analyses, and preparing detailed product specifications. You will verify operability of configurations, perform advanced systems integration, and deliver impact presentations. Key responsibilities include designing end-to-end analytics solutions, managing data migrations, and implementing GenAI or RAG architectures. Required technical skills include SQL, Python, and experience with cloud platforms like AWS, Azure, or GCP. You must demonstrate proficiency with data platforms such as Snowflake or Databricks, as well as tools like Spark, Kafka, and Airflow. The role solves complex business problems by translating ambiguous requirements into structured data warehousing, lakehouse, and real-time streaming analytics solutions.

What does a Systems Engineer earn?

Median $160000 from 251 postings across 41 companies.

See salary data

What you'll do

  • Conduct customer needs analyses to identify technical requirements and business drivers.
  • Prepare detailed product specifications and deliver technical presentations at customer facilities.
  • Verify the operability of sophisticated product and service configurations within customer environments.
  • Perform advanced systems integration to design and implement complex data solutions.
  • Build and lead relationships for highly sophisticated customer accounts.
  • Build and deliver compelling product demonstrations and Proof of Concepts (POCs) with clear success criteria.
  • Translate ambiguous business problems into clear data and analytics use cases.
  • Design end-to-end analytics solutions from raw data to dashboards and predictive models.

What we're looking for

  • 5+ years of experience in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist.
  • Hands-on experience with at least one major cloud data platform like Snowflake, Databricks, BigQuery, Redshift, Cloudera, or Synapse.
  • Hands-on experience with at least one major public cloud provider such as AWS, Azure, or GCP.
  • Proven experience architecting and delivering data management, analytics, or data science solutions in areas like cloud migrations, BI modernization, or GenAI/RAG implementations.
  • Strong SQL skills for analytical queries, performance tuning, and data modeling including star/snowflake schemas and partitioning.
  • Proficiency in data engineering, including ETL/ELT concepts, unstructured data processing, and orchestration tools like Airflow, dbt, or Spark.
  • Ability to design and explain end-to-end analytics solutions and work with BI tools like Tableau, Power BI, Looker, or Qlik.
  • Ability to translate complex technical topics into business-oriented narratives and deliver compelling demonstrations to senior stakeholders.

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