Associate Data Engineering Jobs in Texas (NOW HIRING)

Tittle : Snowflake Data Engineer
Location: Dallas TX (Day 1 Onsite)
The pay range for this role is
***k - ***k
per annum including any bonuses or variable pay. *** also offers benefits like medical, vision, dental, life, disability insurance and paid time off (including holidays, parental leave, and sick leave, as required by law). Ask our recruiters for more details on our Benefits package. The exact offer terms will depend on the skill level, educational qualifications, experience, and location of the candidate.
Key Responsibilities
Design and implement
Snowflake schemas
(star, snowflake, data vault) optimized with
micro-partitioning, clustering keys, materialized views, and search optimization services .
Build
real-time and batch ingestion pipelines
into Snowflake using
Snowpipe, Kafka Connect, Fivetran, Matillion, Informatica, or dbt .
Automate
incremental data processing
with
Streams
Tasks
to support CDC (Change Data Capture).
Use
Zero-Copy Cloning
for environment management, testing, and sandboxing.
Apply
Time Travel and Fail-safe features
for data recovery and auditing.
Develop data transformation logic in
Snowpark for Python/SQL/Scala
to push compute directly into Snowflake.
Design integrations with
cloud storage (S3, Azure ADLS, GCS)
for staging and external tables.
Implement
data sharing and data marketplace solutions
via Snowflake
Secure Data Sharing
and
Snowflake Marketplace .
Enable
semi-structured data handling
(JSON, Avro, Parquet, ORC, XML) using
VARIANT columns and lateral flattening .
Integrate Snowflake with
BI tools
(Power BI, Tableau) via live connections and semantic layers.
Implement
RBAC (Role-Based Access Control) ,
Row Access Policies , and
Dynamic Data Masking
for data security.
Optimize compute usage with
multi-cluster warehouses ,
resource monitors , and
query performance tuning .
Manage
cost optimization strategies
(warehouse auto-suspend, query profiling, storage/compute separation).
Integrate with
data catalog
governance platforms
(Collibra, Alation, Informatica CDGC) using Snowflake metadata and APIs.
Work with domain teams to deliver
data products
leveraging Snowflake's data mesh-friendly features.
Collaborate with architects to design a
Snowflake-centric data fabric
integrated with ETL/ELT and API layers.
Support
CI/CD automation
for Snowflake code deployment using GitHub Actions, Azure DevOps, or dbt Cloud.
Qualifications
Education:
Bachelor's or Master's in Computer Science, Data Engineering, or related field.
Experience:
10+ years of data engineering experience, with
5+ years in Snowflake Data Cloud .
Expertise in
SQL optimization and Snowflake performance tuning .
Hands-on with
Snowpipe, Streams
Tasks, Snowpark, Zero-Copy Cloning, and Secure Data Sharing .
Proficiency in
Python, Scala, or Java
for Snowpark development.
Experience integrating with
cloud platforms like AWS .
Exposure to
ETL/ELT tools
(Informatica, Matillion, Fivetran).
Familiarity with
CI/CD, Git, DevOps practices
for data operations.
Preferred Certifications:
SnowPro Core Certification
Key Skills
Snowflake-native feature design and implementation (Snowpark, Streams, Time Travel, Secure Data Sharing)
Data ingestion (Snowpipe, CDC, Kafka, Fivetran)
Semi-structured data handling (VARIANT, JSON, Avro, Parquet)
Advanced SQL and performance tuning
Data governance (RBAC, masking, lineage, catalogs)
Cloud data platform integrations (AWS S3, Azure ADLS, GCP GCS)
BI and analytics tool integration
Cost optimization and warehouse orchestration
*** is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities.
Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at
*** ."