

United Software Group Inc
Iceberg Hadoop Admin
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Iceberg DBA / Lakehouse Operations Engineer with 6-10+ years in Big Data, including 2+ years with Apache Iceberg. The contract lasts 9-12 months, offers remote work in the US, and requires expertise in Cloudera, data modeling, and large-scale data management.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
August 12, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Remote
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Dallas, TX
-
🧠 - Skills detailed
#Impala #Trino #SQL (Structured Query Language) #DBA (Database Administrator) #NiFi (Apache NiFi) #Apache Iceberg #Spark (Apache Spark) #Data Management #Metadata #Data Lake #Data Modeling #Cloudera #Cloud #Data Migration #Migration #Data Engineering #Spark SQL #Big Data #Teradata #Normalization #Hadoop
Role description
Job Title: Hadoop Admin-- Senior Iceberg DBA / Lakehouse Operations Engineer
Location : Remote work accepted from anywhere in US
Duration : 9-12+ Months Contract
Teams Meeting Interview
Job Description:
Looking for Admin Profiles onl
y
• 6-10+ years of experience in Big Data / Data Engineering / DBA / Data Operations ro
les
• Minimum 2+ years of hands-on experience with Apache Iceberg in production environme
nts
• 6+ years of experience working with Cloudera ecosystem (CDP Ecosyst
em)
• Strong expertise
• in:
Iceberg table optimization (compaction, metadata management, partition evolut
• ion)Multi-engine performance tuning (Spark, Hive, Imp
• ala)Troubleshooting complex data and query performance is
sues
• Proven experience hand
• ling:
P1/P2 production inc
• identsLarge-scale environments (TB/PB
• scale)Data migration initiatives (Hive/Teradata → Ic
eberg)
• Lead enforcement of data modeling and Lakehouse standards across appli
cations
• Guide te
• ams on:
Medallion architecture implem
• entationBalancing normalization vs per
formance
• Review and resolve complex data modeling and performance t
rade-offs
• Ensure consistency of data structures across domains and
workloads
• Mentor and guide L2 resources in operational best practices and troubl
eshooting
Requi
red Skills
• Strong hands-on experience with Apache Iceberg and/or Hive-based
data lakes
• Understanding of data modeling concepts (normal forms) and modern Lakehouse patterns (Medallion ar
chitecture)
• Ex
pertise in:o Table-level optimization and perform
ance tuningo Large-scale data management (T
B/PB scale)
• Exper
ience with:o Spark SQL, Hive, Impala,
NiFI, Trino
• Strong unders
tanding of:o Partitioning
strategieso File formats (P
arquet/ORC)o Distributed query
processing
Pref
erred Skills
• Expe
• rience with:
Hive-to-Iceberg or Teradata-to-Iceb
• erg migrationCloudera
CDP (CDE/CDW)
Job Title: Hadoop Admin-- Senior Iceberg DBA / Lakehouse Operations Engineer
Location : Remote work accepted from anywhere in US
Duration : 9-12+ Months Contract
Teams Meeting Interview
Job Description:
Looking for Admin Profiles onl
y
• 6-10+ years of experience in Big Data / Data Engineering / DBA / Data Operations ro
les
• Minimum 2+ years of hands-on experience with Apache Iceberg in production environme
nts
• 6+ years of experience working with Cloudera ecosystem (CDP Ecosyst
em)
• Strong expertise
• in:
Iceberg table optimization (compaction, metadata management, partition evolut
• ion)Multi-engine performance tuning (Spark, Hive, Imp
• ala)Troubleshooting complex data and query performance is
sues
• Proven experience hand
• ling:
P1/P2 production inc
• identsLarge-scale environments (TB/PB
• scale)Data migration initiatives (Hive/Teradata → Ic
eberg)
• Lead enforcement of data modeling and Lakehouse standards across appli
cations
• Guide te
• ams on:
Medallion architecture implem
• entationBalancing normalization vs per
formance
• Review and resolve complex data modeling and performance t
rade-offs
• Ensure consistency of data structures across domains and
workloads
• Mentor and guide L2 resources in operational best practices and troubl
eshooting
Requi
red Skills
• Strong hands-on experience with Apache Iceberg and/or Hive-based
data lakes
• Understanding of data modeling concepts (normal forms) and modern Lakehouse patterns (Medallion ar
chitecture)
• Ex
pertise in:o Table-level optimization and perform
ance tuningo Large-scale data management (T
B/PB scale)
• Exper
ience with:o Spark SQL, Hive, Impala,
NiFI, Trino
• Strong unders
tanding of:o Partitioning
strategieso File formats (P
arquet/ORC)o Distributed query
processing
Pref
erred Skills
• Expe
• rience with:
Hive-to-Iceberg or Teradata-to-Iceb
• erg migrationCloudera
CDP (CDE/CDW)






